October 28, 2025

HTS code-linked document management platform for international trade

October 28, 2025/ Tanzeel Kamal

The Need

Thomson Reuters, a global information services provider serving trade and customs professionals, needed a powerful document management tool to streamline the complex workflows of international import/export operations.

Trade organizations managing cross-border shipments deal with massive volumes of documents—commercial invoices, packing lists, bills of lading, certificates of origin, customs declarations, and compliance documents—each linked to specific products classified under HTS (Harmonized Tariff Schedule) codes. The existing document management approaches using file shares, email attachments, and disparate systems created inefficiency, compliance risks, and errors.

Trade professionals struggled to organize documents by HTS codes for efficient retrieval, track document versions and approval statuses, ensure all required documents were submitted for shipments, find specific documents quickly among thousands of files, and maintain audit trails for compliance verification.

Thomson Reuters required a centralized, version-controlled platform for organizing, tagging, and retrieving HTS-linked documents, with workflow automation tracking submissions, approvals, and trade activity to reduce errors and improve process efficiency.

With the goal of saving $100,000+ through reduced errors and compliance issues, and 50,000+ hours of workflow automation, Thomson Reuters needed a sophisticated trade document hub that would transform how customs brokers, freight forwarders, and trade compliance teams manage the documentation essential for international commerce.

The Solution

We developed a comprehensive HTS and trade document management platform that transformed how Thomson Reuters' clients handle international trade documentation, delivering substantial efficiency gains and cost savings.

The Smart Trade Document Hub creates a centralized version-controlled platform for organizing, tagging, and retrieving HTS-linked documents.

The system maintains a comprehensive document repository where every trade document is stored with metadata including HTS code linking documents to specific product classifications, shipment information connecting documents to specific import/export transactions, document type categorization (invoice, packing list, certificate, etc.), version history tracking every document iteration with timestamps and user attribution, and approval status indicating which documents have been reviewed and approved.

The version control ensures teams always work with current documents while maintaining complete audit trails of changes—essential for compliance verification and dispute resolution.

The HTS-code tagging enables rapid retrieval of all documents related to specific products or classifications, dramatically improving efficiency when preparing shipments, responding to customs queries, or conducting compliance reviews.

The Workflow Automation + Compliance feature tracks submissions, approvals, and trade activity to reduce errors and improve process efficiency.

The platform automates document workflows including submission routing automatically sending documents to appropriate reviewers based on document type and transaction parameters, approval workflows tracking review status and escalating pending approvals that risk delaying shipments, compliance checks validating that required documents are present and properly completed before submission, notifications alerting stakeholders when actions are needed or deadlines approach, and activity logging creating complete audit trails of who accessed, modified, or approved documents and when.

This automation eliminates manual tracking using spreadsheets or email, reduces errors from missing or incorrect documents, accelerates approval cycles by removing bottlenecks, and ensures compliance by enforcing document requirements systematically rather than relying on individual diligence.

The WPF Interface + Search Engine built with WPF (Windows Presentation Foundation), MEF (Managed Extensibility Framework), and Lucene.net delivers seamless UI and high-speed document indexing and search.

The desktop application provides rich, responsive interfaces for document management, powerful search capabilities enabling users to find documents instantly using HTS codes, shipment numbers, document types, dates, or full-text search, advanced filtering narrowing results by multiple criteria simultaneously, and preview functionality allowing users to view documents without opening separate applications.

Lucene.net powers the search engine, providing Google-quality search performance across potentially millions of documents, with sub-second query response times even in large document repositories. The MEF architecture enables modular extensibility, allowing Thomson Reuters to add custom functionality or integrations for specific client needs without rebuilding core platform.

The measurable impact demonstrates the platform's value: saving $100,000+ through reduced errors, compliance issues, and efficiency gains, and automating 50,000+ hours of workflow that previously required manual document tracking, approval coordination, and compliance verification.

The Challenge

The primary challenge was designing a document management system that could accommodate the complexity of international trade—where documents are linked to HTS codes, shipments, parties, regulations, and approval workflows—while remaining intuitive for trade professionals who aren't necessarily technical power users.

The data model needed to capture intricate relationships between documents, products, shipments, and regulatory requirements while enabling simple, fast retrieval.

Building version control that would maintain complete document history while avoiding confusion about which version was current required careful UX design.

Users needed confidence they were always viewing or submitting the latest approved version, yet auditors and compliance teams needed access to complete version histories. Balancing these requirements without creating complex interfaces presented significant design challenges.

Implementing workflow automation that could reduce errors and improve efficiency required understanding diverse trade document workflows across customs brokerage, freight forwarding, and trade compliance functions.

Different document types have different approval requirements, various stakeholders need visibility or approval authority, and compliance rules vary by country, product, and trade agreement. Creating flexible workflow engines that could accommodate this diversity while remaining manageable to configure required sophisticated architecture.

Creating high-speed document indexing and search using Lucene.net that could handle diverse document formats (PDFs, Word documents, Excel spreadsheets, scanned images) while maintaining sub-second search performance required technical expertise in full-text indexing, OCR integration for scanned documents, and query optimization.

The search needed to work not just on document metadata but also on content within documents, enabling users to find references to specific HTS codes, product descriptions, or regulatory citations buried in attachments.

Building a WPF desktop application using MEF for modularity while maintaining performance, usability, and the seamless integration required by trade professionals working under time pressure required careful UI/UX design, performance optimization, and extensive user testing with actual customs brokers and trade compliance specialists.

The Partnership

Our collaboration with Thomson Reuters was driven by understanding both the technical requirements of document management at scale and the operational realities of international trade where documentation errors can cause shipment delays, compliance violations, and financial penalties.

We worked closely with their product team and trade industry experts to design a platform genuinely serving trade professionals' needs.

The partnership involved comprehensive requirements analysis understanding trade document workflows, HTS code systems, regulatory compliance requirements, and the specific pain points Thomson Reuters' clients experienced with existing document management approaches.

We built the complete platform using WPF for the rich desktop application interface, MEF for modular, extensible architecture, WCF (Windows Communication Foundation) backend API connected to Microsoft SQL Server for robust data management, and Lucene.net for high-performance document indexing and search.

The technology stack delivered the enterprise-grade performance, security, and reliability required for trade document management while maintaining the usability essential for user adoption.

We implemented the version-controlled document repository with HTS-code linking, designed and built the workflow automation engines tracking submissions and approvals, and created the powerful search capabilities enabling instant document retrieval from potentially massive repositories.

The measurable success—saving $100,000+ and automating 50,000+ hours of workflow—demonstrates how this collaborative approach created a platform that genuinely improved operational efficiency, compliance, and accuracy for trade organizations managing the complex documentation requirements of international commerce.

The Tech Stack

We built the platform using WPF (Windows Presentation Foundation) for the frontend with MEF (Managed Extensibility Framework) for modularity, and a WCF (Windows Communication Foundation) backend API connected to Microsoft SQL Server, with Lucene.net powering document indexing and search.

WPF delivers the rich, responsive desktop application interface providing trade professionals with seamless UI for document management, upload, tagging, version control, and approval workflows. MEF enables modular architecture allowing Thomson Reuters to extend platform functionality or integrate with client-specific systems without core platform changes.

WCF provides the backend API handling business logic for document storage, version control, workflow automation, and compliance tracking. Microsoft SQL Server ensures reliable, secure data management for document metadata, HTS code linkages, shipment information, approval workflows, and audit trails.

Lucene.net powers high-speed document indexing and search, enabling sub-second full-text search across millions of documents including content within PDFs, Word files, and scanned images—with sophisticated query capabilities supporting HTS code search, shipment number lookup, document type filtering, and complex boolean queries.

The platform delivers the smart trade document hub with centralized, version-controlled organization of HTS-linked documents, workflow automation and compliance tracking reducing errors and improving process efficiency, and the WPF interface with Lucene-powered search enabling quick retrieval—all working together to save $100,000+ and automate 50,000+ hours of workflow for trade organizations managing international import/export documentation.

October 28, 2025

HTS classification and regulatory compliance platform for US importers and exporters

October 28, 2025/ Tanzeel Kamal

The Need

Thomson Reuters recognized that US importers and exporters faced critical challenges in accurately classifying products under the Harmonized Tariff Schedule (HTS) and maintaining compliance with complex, constantly-changing trade regulations.

Incorrect HTS classification can result in overpaid duties, customs penalties, shipment delays, and compliance violations, yet the HTS contains over 17,000 classification codes with nuanced distinctions that require expert interpretation.

Beyond classification, trade professionals must track regulatory requirements from multiple government agencies—FDA for food and drugs, EPA for environmental products, DEA for controlled substances, and others—each with specific documentation, testing, and clearance requirements. Existing solutions provided static tariff data but lacked integration with regulatory databases, offered no automated compliance tracking, required manual research across multiple government websites, and couldn't keep pace with regulatory updates and trade policy changes.

Thomson Reuters needed a comprehensive web platform co-branded as Global Trade Analyzer (GTA) that would deliver detailed Harmonized Tariff Schedule data, integrate with US Partner Government Agencies (PGAs) for automated regulatory compliance tracking, and handle complex data flows with live updates as trade regulations evolved.

With the goal of processing 150,000+ import classifications and providing access to $75,000 worth of compliance documents, Thomson Reuters required an enterprise-grade trade compliance platform that would become indispensable for US import/export operations.

The Solution

We built and co-branded Global Trade Analyzer with Thomson Reuters, creating a comprehensive platform that transformed how US importers and exporters manage HTS classification and regulatory compliance.

The Joint Platform with Thomson Reuters was built and co-branded as GTA (Global Trade Analyzer), used by US importers and exporters for HTS classification and compliance tracking.

The platform provides comprehensive HTS database containing all 17,000+ tariff classifications with detailed descriptions, duty rates, special trade program eligibility, and classification guidance. Users can search by product description, HTS code, or keywords, with intelligent search algorithms suggesting relevant classifications even when users aren't sure of proper technical terminology.

Each HTS entry includes duty rates under normal trade relations, special program rates (GSA, NAFTA/USMCA, etc.), and historical rate data enabling users to understand cost implications of classification decisions.

The co-branding with Thomson Reuters leverages their reputation as the authoritative source for trade information, giving the platform immediate credibility with customs brokers, compliance professionals, and corporate trade departments.

The Integration with US PGAs (Partner Government Agencies) provides automated access to regulatory data from agencies like FDA (Food and Drug Administration), EPA (Environmental Protection Agency), and DEA (Drug Enforcement Administration), supporting customs clearance and risk mitigation.

When users classify products, the system automatically identifies which PGAs have jurisdiction, displays specific regulatory requirements (permits, certifications, testing, labeling), provides access to relevant forms and guidance documents, alerts users to recent regulatory changes affecting their products, and tracks compliance status.

This integration transforms GTA from a tariff lookup tool into a comprehensive trade compliance platform. Rather than researching multiple government websites to understand requirements, users get consolidated, product-specific compliance guidance within GTA, dramatically reducing research time and compliance risk.

The Built for Scale & Accuracy component leverages .NET/C# and SQL Server to handle complex data flows, classification mappings, and live updates for trade regulations.

The platform architecture supports high concurrent user loads as trade professionals simultaneously research classifications and compliance requirements, maintains massive databases of tariff classifications with historical versions and effective dates, processes complex queries searching across product descriptions, notes, and regulatory data, implements data synchronization mechanisms pulling updates from government sources, and ensures data accuracy critical for compliance decisions where errors have financial and legal consequences.

SQL Server provides the robust, reliable data management infrastructure essential for mission-critical trade compliance applications, while .NET/C# delivers the performance and scalability required as Thomson Reuters' client base grows.

The platform's success is demonstrated by its substantial usage: processing 150,000+ import classifications helping users determine correct HTS codes for their products, and providing access to $75,000 worth of compliance documents including regulatory forms, guidance documents, and agency updates that would otherwise require expensive subscriptions or laborious research across multiple government websites.

The Challenge

The primary challenge was creating and maintaining an HTS database that remained current as tariff rates changed, trade agreements evolved, and classifications were clarified or modified by customs authorities. The HTS is a living document with frequent updates, and users depend on GTA providing accurate, current information.

Building automated data synchronization from government sources, implementing version control tracking when rates or classifications changed, and notifying users of changes affecting their products required sophisticated data management infrastructure.

Integrating with multiple US Partner Government Agencies each with different data formats, update frequencies, and API capabilities (or lack thereof) presented significant technical challenges.

Some agencies provide structured data feeds, others only publish PDFs or HTML, and regulations often require human interpretation. Building automated systems that could aggregate this disparate information, structure it for searchability, and present it coherently required extensive data engineering and continuous maintenance as agency systems evolved.

Creating intelligent classification search that could help users find appropriate HTS codes even when they didn't know precise technical terminology required advanced search algorithms.

Users might describe products colloquially ("kitchen sponges") while HTS classifications use technical language ("articles of cellular plastics for domestic use"). The search engine needed to bridge this terminology gap through synonyms, related terms, and machine learning from past successful searches.

Building a platform that could scale to support Thomson Reuters' growing client base—customs brokers serving hundreds of importers, corporate trade departments managing thousands of product lines, and consulting firms researching classifications for diverse clients—required architecting for concurrent access, query performance, and data volume. The system needed sub-second search response times even as the database grew and usage increased.

Ensuring data accuracy where errors could lead to customs penalties, shipment delays, or compliance violations required rigorous quality assurance, validation against authoritative government sources, and clear attribution of data provenance so users understood they were accessing official information rather than third-party interpretations.

The Partnership

Our collaboration with Thomson Reuters was driven by their vision to provide US trade professionals with a comprehensive, authoritative platform for HTS classification and regulatory compliance.

We worked closely with their product team, trade compliance experts, and target customers to design a platform that would genuinely serve the complex needs of international trade operations.

The partnership involved co-branding the platform as Global Trade Analyzer, leveraging Thomson Reuters' reputation while building on Kaz Software's technical capabilities.

This joint platform approach combined Thomson Reuters' domain expertise, data relationships with government agencies, and market presence with our software development, data engineering, and platform architecture capabilities.

We built the complete technology stack using Microsoft .NET/C# with ASP.NET frontend styled with HTML5 and CSS, and Microsoft SQL Server for robust data management and performance.

The platform handles complex data flows synchronizing tariff and regulatory information from multiple sources, implements sophisticated search and classification algorithms, and manages live updates as trade regulations evolve.

We designed and implemented the PGA integration mechanisms pulling regulatory data from FDA, EPA, DEA, and other agencies, structuring diverse information for consistency and searchability.

Our team also built the HTS classification engine, compliance tracking workflows, and user interfaces balancing comprehensiveness with usability.

The measurable success—processing 150,000+ import classifications and providing access to $75,000 worth of compliance documents—demonstrates how this collaborative approach created a platform that delivers genuine value to US importers and exporters navigating the complex landscape of international trade compliance.

The Tech Stack

We built the platform using Microsoft .NET/C# with an ASP.NET frontend styled with HTML5 and CSS, backed by Microsoft SQL Server for robust data management and performance.

.NET/C# provides the enterprise-grade framework for handling complex business logic including HTS classification algorithms, PGA integration workflows, regulatory data processing, and compliance tracking. ASP.NET delivers the web application framework providing importers and exporters with responsive, accessible interfaces for product classification, compliance research, and regulatory tracking. HTML5 and CSS enable modern, standards-compliant web interfaces that work across devices and browsers.

SQL Server ensures reliable, scalable data management for the comprehensive HTS database with 17,000+ classification codes, massive collections of regulatory documents and forms from partner government agencies, user classification history and saved searches, and audit trails of data updates and regulatory changes.

The platform handles complex data flows synchronizing information from US Customs, FDA, EPA, DEA, and other government sources, implements classification mappings connecting products to HTS codes and relevant regulations, and manages live updates ensuring users always access current tariff rates and regulatory requirements.

The architecture delivers the joint platform co-branded with Thomson Reuters for authoritative HTS classification, integrated PGA access providing automated regulatory compliance tracking, and the scale and accuracy needed to process 150,000+ import classifications while providing access to $75,000 worth of compliance documents—transforming how US importers and exporters manage the complex requirements of international trade.

October 28, 2025

AI-powered drone platform for automated crop disease detection and pesticide application

October 28, 2025/ Tanzeel Kamal

The Need

Virus Shield Biosciences, a UK-based agricultural technology company, recognized that traditional crop disease management relied on manual field inspections, scheduled pesticide applications, and reactive treatment approaches that resulted in excessive pesticide use, delayed disease detection, and high labor costs.

Farmers faced challenges in detecting crop diseases early before significant damage occurred, applying pesticides precisely only where needed rather than blanket spraying entire fields, monitoring large agricultural areas efficiently without excessive manual labor, and optimizing treatment timing to maximize effectiveness while minimizing chemical use.

The company needed a smart drone platform that could automate crop disease detection using machine learning and real-time video analytics, provide GPS-based spray automation for precision pesticide application, and deliver cost and labor reduction through optimized treatment and automated large-scale farm operations.

With the goal of achieving 70% pesticide waste reduction and saving 5,000+ hours of manual operation time, Virus Shield Biosciences required a comprehensive AI-powered precision agriculture solution that would transform crop protection from reactive, labor-intensive, chemical-heavy practices to proactive, automated, data-driven disease management.

The Solution

We partnered with UK-based Virus Shield Biosciences to develop a smart drone platform that revolutionized crop disease management through AI-powered automation and precision agriculture, delivering substantial environmental and economic benefits.

The Real-Time Disease Detection capability employs machine learning models that detect crop issues via live drone video using CVAT (Computer Vision Annotation Tool) and Detectron2. As drones fly over fields capturing high-resolution video, the AI analyzes footage in real-time identifying disease symptoms including discoloration, wilting, spots, or abnormal growth patterns, classifying disease types and severity levels, pinpointing exact locations of infected areas using GPS coordinates, and generating immediate alerts for farmers to review.

The ML models were trained on thousands of annotated crop disease images, learning to distinguish healthy plants from those affected by various pathogens, pests, or nutrient deficiencies.

This real-time detection enables early intervention when diseases are most treatable, preventing spread to healthy crops and minimizing yield loss.

The GPS-Based Spray Automation feature enables software to issue precision flight and spray instructions via DJI SDK (Software Development Kit).

Once diseases are detected, the system automatically calculates optimal treatment plans determining which specific areas require pesticide application, calculating precise pesticide quantities needed based on infection severity and area, generating flight paths for drones to cover affected zones efficiently, and programming spray patterns to target diseased plants while avoiding healthy areas.

The integration with DJI drones enables automated execution where drones follow programmed routes, activate sprayers only over infected areas, adjust spray rates based on disease severity, and return for refills as needed—all with minimal human intervention.

This precision application dramatically reduces pesticide waste compared to traditional blanket spraying.

The Global-Scale Agri Use demonstrates successful adaptation to fruit orchards and global crop types. While initially developed for specific crops, the platform's flexible ML architecture enables training models for diverse agricultural contexts including fruit orchards detecting fungal infections, pest damage, or ripeness issues, grain crops identifying rust, blight, or pest infestations, vegetable farms monitoring disease and pest pressure, and specialty crops adapting to unique disease profiles.

This scalability enables Virus Shield Biosciences to serve farmers globally regardless of what they grow, with ML models continuously improving through exposure to new crop types and disease patterns.

The Cost & Labor Reduction benefits come from optimized pesticide use and automated large-scale farm operations.

The platform reduces costs by minimizing pesticide waste through precision application, decreasing labor requirements for manual field scouting, preventing yield loss through early disease detection, and reducing equipment wear from unnecessary spraying.

Labor is saved by automating disease monitoring across vast acreage, eliminating manual spray calibration and application, and reducing time spent on treatment planning and execution. The automated operations enable farmers to manage larger areas with fewer staff while achieving better disease control outcomes.

The measurable impact demonstrates the platform's value: achieving 70% pesticide waste reduction through precision targeting, and saving 5,000+ hours of manual operation time by automating disease detection and treatment application.

The Challenge

The primary challenge was developing machine learning models that could accurately detect diverse crop diseases from drone video in real-world agricultural conditions with varying lighting, weather, crop varieties, and disease manifestations.

Training ML models required massive datasets of annotated images showing healthy and diseased crops across growth stages, using CVAT for efficient annotation workflows. The models needed to distinguish diseases from similar-looking conditions (nutrient deficiencies, drought stress, mechanical damage) and operate reliably despite video quality variations, motion blur, or partial plant occlusion.

Implementing real-time video analytics on resource-constrained drone platforms required optimizing ML inference for edge computing.

Processing high-resolution video streams in real-time while flying demanded efficient model architectures, careful compute resource management, and robust software ensuring stable operation despite connectivity issues or hardware limitations.

Integrating GPS-based spray automation with DJI drones via their SDK required understanding drone flight control APIs, spray system interfaces, and safety protocols.

The software needed to generate flight paths that covered diseased areas efficiently while respecting no-fly zones, obstacles, and wind conditions, program spray patterns that delivered precise pesticide quantities, and handle error conditions like low battery or mechanical issues gracefully.

Adapting the platform for global-scale agricultural use across diverse crop types required flexible ML pipelines supporting rapid model training for new crops, transfer learning leveraging knowledge from existing models, and continuous improvement as the system encountered new disease patterns.

The platform needed to accommodate different farming practices, regulatory requirements, and operational contexts across global markets.

Achieving 70% pesticide waste reduction while maintaining effective disease control required proving that precision application was as effective as traditional blanket spraying—requiring field trials, agricultural science expertise, and farmer education demonstrating that targeted treatment worked better than over-application.

The Partnership

Our collaboration with Virus Shield Biosciences was driven by a shared vision of transforming agriculture through AI and precision technology while reducing environmental impact and improving farmer economics.

We worked closely with their agricultural scientists, drone specialists, and farming partners to design a platform genuinely serving real-world crop protection needs.

The partnership involved extensive field testing to understand disease detection requirements, validate ML model accuracy, optimize spray automation, and demonstrate economic and environmental benefits to farmers.

We collaborated with agricultural experts to build training datasets, validate disease classifications, and ensure treatment recommendations aligned with agronomic best practices.

We built the complete technology stack using Python for ML model development with Detectron2 for object detection and CVAT for annotation workflows, Node.js and React for the web platform enabling farmers to review disease alerts and manage drone operations, DJI SDK integration for automated drone flight control and spray operations, AWS Lambda for serverless compute handling video processing and ML inference, and GIS tools like Google Maps API for spatial visualization and flight path planning. The platform also integrates with MongoDB for data management storing crop health records, treatment history, and operational analytics.

We delivered full-cycle development from ML model training through platform deployment, provided ongoing model improvement as new crop types and disease patterns were encountered, and supported Virus Shield Biosciences' expansion into global markets with platform adaptations for different agricultural contexts.

The measurable success—achieving 70% pesticide waste reduction and saving 5,000+ hours of manual operation time—demonstrates how this collaborative approach created a platform that genuinely advances sustainable agriculture while improving farmer profitability through AI-powered precision crop protection.

The Tech Stack

We built the platform using Python with Detectron2 and CVAT for ML-powered disease detection, Node.js and React for the web platform, DJI SDK for drone control, AWS Lambda for serverless processing, GIS tools like Google Maps API for spatial planning, and MongoDB for data management.

Python provides the foundation for machine learning with Detectron2 delivering state-of-the-art object detection for identifying diseased plants in drone video, and CVAT streamlining annotation workflows for building training datasets. Node.js powers the backend API handling video uploads, ML inference requests, spray planning, and drone command generation. React delivers the farmer-facing web interface for reviewing disease alerts, managing drone fleets, and accessing crop health analytics.

DJI SDK integration enables automated drone operations including programmed flight paths, precision spray control, and real-time telemetry.

AWS Lambda provides serverless compute for scalable ML inference processing video streams without maintaining dedicated servers. Google Maps API and GIS tools enable spatial visualization of disease hotspots and generation of GPS-based flight paths optimizing coverage and spray efficiency. MongoDB stores crop health records, treatment history, ML model outputs, and operational data enabling continuous platform improvement.

The integrated platform delivers real-time disease detection via ML models analyzing live drone video, GPS-based spray automation issuing precision flight and spray instructions, global-scale agricultural adaptability across diverse crop types, and cost and labor reduction through optimized pesticide use and automated operations—achieving 70% pesticide waste reduction and saving 5,000+ hours of manual operation time for farmers globally.

October 10, 2025

Ambassador-driven lead generation platform for a multinational paint manufacturer

October 10, 2025/ Tanzeel Kamal

Kaz Software developed a comprehensive Lead & Wallet Platform that transformed how Berger Paints engages with youth ambassadors and manages lead generation.

The Need

Berger Paints, a globally trusted paint manufacturer, recognized an untapped opportunity to engage unemployed youth as brand ambassadors to drive grassroots sales and service leads. They needed a digital platform that could empower these young ambassadors to generate verified leads through referrals while ensuring seamless commission management. The challenge was to create an integrated system that could handle ambassador onboarding, lead tracking, automated commission disbursement, and real-time KYC verification—all while integrating with Berger's existing core systems and mobile wallet infrastructure. The goal was to build a scalable rewards and lead generation ecosystem that would create economic opportunities for youth while expanding Berger's market reach.

The Solution

We developed a comprehensive Lead & Wallet Platform that transformed how Berger Paints engages with youth ambassadors and manages lead generation. The solution consists of two interconnected systems working in perfect harmony.

The Ambassador Sales Platform is a custom-built mobile and web application that enables youth to register as brand ambassadors and generate verified sales and service leads. The platform provides ambassadors with tools to track their referrals, monitor lead status, and view their earnings in real-time, creating transparency and motivation for continued engagement.

The Wallet & Commission System automates the entire commission disbursement process through integrated mobile wallets, specifically bKash and Nagad. Once leads are verified and converted, commissions are automatically calculated and transferred to ambassadors' digital wallets, eliminating manual processing delays and ensuring instant gratification for their efforts.

We integrated robust CRM & Workflow capabilities that enable seamless lead processing through Berger's existing Lead Management System (LMS) and MSFA (Mobile Sales Force Automation) platforms. The admin web portal provides Berger's team with complete visibility and control over the entire ambassador network and lead pipeline.

Security and compliance were paramount, so we integrated NID & Identity Verification through Porichoy.com, enabling national ID validation at registration to ensure all ambassadors are legitimate and prevent fraud. This multi-layered platform has successfully generated over 5,000 leads through the ambassador network while achieving 100% automated payout integration, creating a win-win ecosystem for both Berger Paints and unemployed youth seeking income opportunities.

The Challenge

The primary challenge was building a modular architecture that could scale to support thousands of ambassadors while maintaining security, real-time performance, and seamless integration with multiple third-party systems. The platform needed to handle real-time KYC verification through Porichoy, process payments through multiple mobile wallet providers (bKash and Nagad), and synchronize lead data with Berger's existing LMS and MSFA systems—all without creating bottlenecks or data inconsistencies.

Ensuring scalability was critical, as the ambassador network needed the capacity to grow exponentially while maintaining system performance. The commission calculation and disbursement logic had to be flawless, as any errors would directly impact ambassador trust and program adoption. Additionally, the user experience had to be intuitive enough for youth with varying levels of digital literacy, while the admin portal needed sophisticated workflow management capabilities for Berger's internal teams.

Balancing security requirements for financial transactions and identity verification with the need for a frictionless user experience presented significant technical and UX challenges that required careful architectural planning and implementation.

The Partnership

Our collaboration with Berger Paints was built on understanding both their business objectives and the socio-economic context of creating opportunities for unemployed youth in Bangladesh. We worked closely with their sales, marketing, and IT teams to map out the entire ambassador journey—from registration and lead generation to commission earning and withdrawal.

The partnership involved extensive consultation to ensure the platform aligned with Berger's existing operational workflows while introducing efficiencies through automation. We conducted user research with potential ambassadors to design an interface that would be accessible and motivating for the target demographic. Our team also managed the complex integrations with government verification systems (Porichoy), mobile financial services (bKash, Nagad), and Berger's enterprise systems (LMS, MSFA).

The measurable success—5,000+ leads generated and 100% automated payout integration—demonstrates how this collaborative approach created a sustainable, scalable platform that continues to drive business value while empowering youth across Bangladesh.

Tech Stack

We utilized .NET Core, C#, and SQL Server to build a robust, modular platform architecture capable of handling complex workflows, real-time transactions, and multi-system integrations. This technology combination was integrated with bKash, Nagad, and Porichoy APIs to enable seamless mobile wallet disbursements and national ID verification. The tech stack provided the scalability needed to support thousands of concurrent ambassadors, the security required for financial transactions and identity verification, and the integration capabilities to connect with Berger's LMS and MSFA platforms—creating a unified ecosystem for ambassador-driven lead generation and automated commission management.

August 20, 2025

Join Us – UX Designer (MID-LEVEL)

August 20, 2025/ Tanzeel Kamal

Kaz Software is hiring a mid-level UX Designer with 2–4 years of experience.

We're on the hunt for a UX Designer with 2-4 years of experience to join our dynamic design team. As a UX Designer, you will play a role in crafting “intuitive” and “engaging” user experiences for our software products. You will be responsible for the entire design process, from understanding user needs to delivering polished UI designs and prototypes.

Responsibilities

We're on the hunt for a UX Designer with 2-4 years of experience to join our dynamic design team. As a UX Designer, you will play a role in crafting “intuitive” and “engaging” user experiences for our software products. You will be responsible for the entire design process, from understanding user needs to delivering polished UI designs and prototypes.

Work with product managers and stakeholders to understand what users and the business actually need
Turn vague or confusing ideas into clear, actionable design goals
Create wireframes that bring abstract concepts to life in a visual way
Make prototypes so polished that people think they're using the actual finished product
Design user interfaces that look great and are genuinely easy to use
Ensure all designs follow “Brand Guidelines” and maintain consistent style standards
Create and maintain detailed design documentation
Clearly communicate design decisions to stakeholders and explain the thinking behind your choices
Document design specifications and developer handoffs that other team members can easily follow and implement

Skill

Good Communication skill
Understanding and practical application of Information Architecture, Micro Animation principles, Design Principles, A11y and UX Laws
Proficiency in Figma, Adobe Photoshop, Framer, Collaborative brainstorming tools such as Miro, Draw.io, and FigJam.

Nice to Have

Preliminary understanding about Brand Experience.
Knowledge of Design Systems, Familiarity with AI tools relevant to your work
Knowledge of the Cavalry app, for those who like to animate.
A basic understanding of HTML, CSS, and JavaScript – so you can at least pretend to understand what the developers are talking about. And maybe even know what a framework is.

Is that you? Interested?

Then please send a short email to hr@kaz.com.bd, explaining why you like UX Designer as a profession. Attach your CV to the email; please name the CV document in the following format: PrimaryTechnology_Years of Experience_Name (e.g. UX Designer_10_Van Gogh.pdf).

Also mention your (Portfolio Link) work in the CV, not in the email body.

June 30, 2025

Join us—Java Developer

June 30, 2025/ Tanzeel Kamal

Join one of the most exciting software companies in Bangladesh! For 20+ years, our team has built world-class products and our alumni have gone on to lead tech initiatives across the globe. We're now looking for energetic and passionate Java Developer(s) to join us. If you're early in your career and eager to grow fast, this one’s for you.

#Java #Golang #Angular #ElasticSearch #Kibana

Responsibilities

As a Java developer, here’s what you’ll be doing:

Building and maintaining robust backend systems with Java (and some Golang if you're up for it).
Contributing to frontend modules using Angular and TypeScript.
Participating in full-cycle development — from design and development to debugging and deployment.
Working closely with cross-functional teams including QA, design, and product to deliver clean and scalable solutions.
Writing unit tests and debugging using tools like JUnit and Kibana.
Continuously learning and improving your coding skills, design principles, and tooling knowledge.

Skills & Experience:

We’re looking for candidates who have:

0–3 years of hands-on experience with Java (Golang experience is a plus).
Solid understanding of Object-Oriented Programming (OOP), SOLID principles, and common design patterns.
Good problem-solving mindset and willingness to take ownership of challenges.
Familiarity with modern dev tools like Maven/Gradle, Git, and JIRA.
Experience maintaining applications in production environments.
Comfortable working with HTML, CSS, TypeScript on the frontend.
Bonus: Experience with ElasticSearch and logs monitoring via Kibana.

Technologies you’ll be working on:

Java, Golang, Angular, JUnit, HTML, CSS, TypeScript, Maven, Gradle, Git, JIRA, Kibana, ElasticSearch

Is that you? Interested?

Then please send a short email to hr@kaz.com.bd, explaining why you like software engineering as a profession. Attach your CV to the email; please name the CV document in the following format: PrimaryLanguage_Years of Experience_Name (e.g. C#_10_Bill Gates.pdf).

U3ViamVjdCBvZiB0aGUgZW1haWwgc2hvdWxkIGJlICJJIExvdmUgSmF2YSEi

June 04, 2025

Kaz Software is in Paris to show how AI from Bangladesh is changing the world

June 04, 2025/ Tanzeel Kamal

Kaz Software represents Bangladesh at VivaTech 2025 with groundbreaking AI solutions

The invitation that wasn’t just an invite — it was a signal

Paris in June is usually about slow rivers and louder conversations. But this year, it’s hosting something bigger — VivaTech 2025, Europe’s largest startup and tech event. And Kaz Software isn’t just attending. We’re showcasing. For us, this isn’t tourism. It’s a mission. An invitation extended by the ICT Division of Bangladesh wasn’t just a chance to speak — it was a call to represent a nation whose developers quietly power some of the world’s loudest tech success stories. From Europe to the Gulf, from Fortune 500s to stealth startups, teams in Bangladesh are building more than software — they’re engineering outcomes.

And at VivaTech, we're putting two of our proudest AI builds on display. One: a pioneering AI platform for children developed for a U.S.-based partner that turns screen time into safe, intelligent playtime — powered by conversational AI and sentiment tracking. The second: an agricultural intelligence tool that uses machine learning to detect early signs of crop disease and autonomously direct precision pesticide spraying. Fewer chemicals. Fewer labor hours. More food security. These are not prototypes. They are live, and they are working.

AI isn’t just what we do — it’s how we’re changing lives

At Kaz Software, AI isn’t layered on for effect. It’s embedded in purpose. We don’t build demos. We build solutions that run in the wild — for people, for systems, for the future. Whether it’s in classrooms or farmlands, our AI projects are driven by use-case, not hype. We obsess over real-world utility: What will help a child think better, learn faster, stay safer? What will save a farmer hours of work and liters of unnecessary pesticide? These questions don’t come from textbooks. They come from the field — and we code with that in mind.

The platform for children — a first-of-its-kind intelligent play-and-learn ecosystem — uses AI to adapt content in real-time based on emotional cues, making it both interactive and protective. On the other side of the world, our crop-health system leverages drone vision, edge ML, and regional data to diagnose and prescribe — almost like a doctor, but for acres of land. That’s the kind of duality we’re bringing to Paris: human-first, tech-deep.

At VivaTech, we’re not there to impress. We’re there to connect — with people building the next chapter of responsible AI, and with businesses that need devs who can ship it, scale it, and support it.

Bangladesh isn’t just in the room — it’s building the room

The world is finally waking up to a truth we’ve lived for years: talent doesn’t wear a zipcode. Founders, VCs, and enterprise CTOs are no longer asking why Bangladesh. They’re asking how soon can they scale with teams from here. And Kaz Software — with two decades of shipping high-impact solutions — is not just building software anymore. We’re building bridges. At VivaTech, we carry the weight of that mandate. To create visibility for our devs. To open business pipelines. To spark investments that bring global revenue back home.

Because when we talk about AI from Bangladesh, we don’t mean AI that mimics — we mean AI that matters. AI that helps feed a village or nurtures a child’s curiosity. And the teams that build this? They sit in Dhaka, in Sylhet, in Rajshahi — not just in cubicles, but in client calls, product workshops, and strategic decision rooms. We are not a service vendor. We are a tech partner.

So yes, we are in Paris. But not for the wine. We are here to make sure the world sees what we already know: Bangladesh is not the back office — it’s the innovation engine.

May 31, 2025

Join Us — Sr. Data Analyst

May 31, 2025/ Tanzeel Kamal

Join the most amazing software company in Bangladesh. Over the past 20 years, our alumni have become tech leaders at home and in great companies around the world. We are looking for a Sr. Data Analyst. Check it out!

#PowerBI #MSSQL

Responsibilities

The candidate will primarily be working with data ingestion, querying, sanitizing, and monitoring. He/she would offer a combination of strong SQL and ETL capabilities and help shape our large-scale data platform, reporting initiatives and offer support to front/middle/back office teams for analyzing fintech datasets.

Design, develop, and support Extract Transform Load (ETL) processes using SSIS
Optimize and tune ETL applications to manage high-volume batch data transfer
Troubleshoot data issues, recommend, test, and implement solutions
Assist with data analysis, modeling, and investigation
Document technical requirements and solutions
Engage in project planning and delivering to commitments
Interact with cross-functional teams to ensure complete delivery of solutions
Assist with configuration and deployment

Skills

Excellent hands-on knowledge of Power BI and MS SQL Server.
Excellent hands-on knowledge of Microsoft SQL Server technology like SSRS
Strong Database performance analysis and optimization skills
Very good communication skills to work with international clients

Is that you? Interested?

Then please send a short email to hr@kaz.com.bd, explaining why you like software engineering as a profession. Attach your CV to the email; please name the CV document in the following format: PrimaryTechnology_Years of Experience_Name (e.g. react_10_Bill Gates.pdf).

May 28, 2025

Join us – Full Stack (Laravel / JavaScript) Developers

May 28, 2025/ Tanzeel Kamal

Kaz Software is hiring Full Stack Devs (Laravel + JS)