Overview
This project combined rapid MVP delivery with applied AI across several domains in one delivery flow: ERP and CRM integration, payment orchestration, logistics connectivity, computer vision modules, and browser-based voice interaction.
The Challenge
The core challenge was to move fast without sacrificing reliability. Each stream had its own technical constraints: payment compliance and provider differences, logistics API variability, model quality for image analytics, and low-latency speech interaction for voice scenarios.
Our Approach
We delivered in short iterations with production-oriented architecture from day one. Shared contracts and modular services allowed teams to deliver independently while keeping integrations predictable. Priority was given to measurable outcomes and quick validation with real users.
Our Solutions
The delivered scope included payment routing with multiple providers, logistics integration for shipment and tracking workflows, computer vision pipelines for practical image analysis, and a web voice assistant connected to internal APIs.
Key Outcomes and Strategic Partnership
The result was a stable MVP foundation that supported further growth without rework of core modules. Teams gained a reusable integration model and a delivery cadence suitable for expanding into additional products and business units.
Used technologies
Exact versions and components varied per MVP, but the stack typically included:
- Backend: Python / Node.js services, REST/GraphQL APIs;
- Frontend: React-based web applications and admin panels;
- Data & storage: relational databases (e.g. PostgreSQL) and message queues where needed;
- Infrastructure: containerized services (Docker) deployed to cloud environments;
- AI components: model-serving endpoints for computer vision and language tasks;
- Integrations: payment providers (Stripe, PayPal, etc.), logistics APIs (including FedEx).