We replaced a fragile integration architecture with a highly stable token management system that handles peak corporate traffic effortlessly. In parallel with deploying an AI support chatbot and building internal reporting tools, we are spearheading the migration from a legacy infrastructure to a modern application management system built entirely from scratch, ensuring absolute data integrity for all historical user progress and unlocking new enterprise revenue channels.
PRODUCT TYPE
Web-based Learning & Certification Platform
TECHNOLOGY STACK
C#, .NET, .NET Core, .NET 11, .NET MVC, SQL Server, Microsoft Azure, LLM / AI Chatbot
SERVICES PROVIDED
Third-party systems integration, backend architecture, internal tooling development, AI chatbot implementation, data migration engineering
INDUSTRY
Manufacturing & Supply Management
MARKET
United States – B2B
Strategic engineering ownership: Redbee acted as a dedicated embedded partner, taking full accountability for rebuilding the architecture from the ground up and managing complex technical transitions
Securing enterprise scalability: Stabilized corporate user access to support high volume, concurrent traffic, entirely eliminating platform downtime during critical B2B onboarding.
Operational automation: Integrated AI driven support and custom reporting tools, shifting the client's internal focus from manual troubleshooting to strategic growth.
Zero data loss modernization: Safeguarding all historical user certifications while moving to a modern ecosystem capable of supporting new, previously blocked educational formats.
Our client is a standard-setting organization in the manufacturing and supply chain management industry. Unlike general online learning marketplaces, they are a primary industry authority that, alongside their core supply management services, established a highly respected professional certification branch. While other organizations offer similar credentials, our client's certifications are considered a benchmark in the field.
However, delivering this specialized educational product requires seamless synchronization across five separate external platforms for course delivery, exam scheduling, certification issuance, event management, and their communications platform.
Severe load instability: The existing LMS integration relied on a token system that crashed whenever corporate clients triggered high volumes of concurrent requests.
Extreme legacy fragmentation: The legacy application management system (AMS) scattered a single customer's data across multiple relational tables, preventing a unified customer view and making data synchronization incredibly difficult.
Accumulated technical debt: Years of heavy internal customization disqualified the legacy AMS from receiving official vendor updates, forcing the engineering team to rely on undocumented workarounds.
Blocked business expansion: The rigid legacy architecture completely lacked native extensibility to support instructor-led live courses, directly blocking the launch of a highly requested enterprise business model.
To eliminate these bottlenecks, we integrated directly into the client's internal operations as an embedded engineering partner. We moved away from patching the legacy system and implemented a comprehensive, three-pronged technical solution:
Architecting a Highly Scalable LMS Integration: We completely rebuilt the LMS token management system using a singleton object architecture. This centralized all token requests and served them safely to every parallel process, preventing token invalidation and eliminating crashes during peak concurrent corporate load.
Executing a Seamless Core Application Migration: To solve the legacy fragmentation, we spearheaded the architectural transition from the highly customized legacy AMS to a modern, cloud-native application management ecosystem. We engineered a highly reliable, bidirectional webhook pipeline to synchronize data perfectly across fragmented tables, ensuring absolutely zero loss of historical user orders, course progress, or certifications during the transition.
Automating Support & Internal Operations: To reduce the operational burden on the client's staff, we deployed a self-learning LLM chatbot that scans the platform to automatically answer routine user queries and flag knowledge gaps. Simultaneously, we built a custom .NET MVC web application backed by SQL Server stored procedures, empowering internal staff to generate specialized reports without relying on engineering resources.
The new singleton token architecture completely eliminated LMS integration crashes, successfully preventing the massive engineering overhead previously required to resolve system failures during high-volume corporate onboarding. The deployed AI support chatbot is fully operational and actively used by the company, answering routine inquiries and accurately mapping knowledge gaps for future training. Throughout the engagement, we operated as a dedicated embedded engineering partner, taking total ownership of the complex integration architecture and ensuring high-quality delivery.
The ongoing migration to the modern AMS completely removes the technical limitations of the legacy system. By rebuilding the core architecture entirely from scratch, taking full ownership of the development and strictly limiting external partners to specific session provisions, we aim to significantly reduce maintenance overhead for the long term and eliminate reliance on undocumented legacy workarounds. Most importantly, this seamless transition is being executed with absolute data integrity, ensuring users retain all historical progress and certifications while natively unlocking new enterprise revenue channels such as live courses led by instructors.
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