StockPilot: AI Procurement & Multi-Location Inventory Engine

Centralizing Fragmented Supply Chains with Cloud-Native Architecture

Distributors and multi-warehouse retailers face immense challenges in maintaining real-time stock visibility and optimizing procurement. Before Brihat's intervention, the client operated fundamentally in the dark. They managed 3-7 dispersed warehouse locations, over 1,000 active SKUs, and coordinated with more than 50 active vendors using completely manual, ledger-based tracking and disconnected Excel sheets. This resulted in chronic structural issues: complete lack of real-time inventory visibility across nodes, intuitive rather than data-driven demand forecasting, and critical vendor coordination gaps leading to delayed replenishment and eroded profit margins.

Brihat engineered StockPilot, a robust, cloud-native SaaS platform designed from the ground up to solve these structural inefficiencies. We replaced disparate spreadsheets with a unified intelligent control layer. Our approach was distinctly software engineering-led, prioritizing transactional consistency, centralized API architecture, and event-driven updates to guarantee real-time stock synchronization.

The Multi-Location Inventory Engine

• Real-time Synchronization: Implemented event-driven websockets to ensure stock adjustments in one warehouse instantly reflect globally.
• Granular Tracking: Engineered batch-level and SKU-level tracking databases for absolute traceability.
• Automated Transfers: Built logic to detect imbalances and trigger automated inter-warehouse transfer protocols.
• Role-Based Access Control: Designed enterprise-grade security protocols allowing differentiated access for warehouse managers, store operators, and executives.

Transformative AI-Based Forecasting

We integrated Python-based predictive models to shift procurement from reactive to intelligent anticipation. The AI engine ingested historical consumption trends, mapped vendor lead times, and applied moving average and seasonal demand algorithms. The system continuously learns from sales velocity, purchase frequencies, and vendor performance history to automate reorder points dynamically. This completely eliminated the manual guesswork that was causing over-purchasing and stock mismatches.

Operational Automation & Barcoding

To digitize the physical workflow, Brihat introduced comprehensive barcode integration. Scanning operations for inward and outward entries were tied directly to the backend PostgreSQL database, allowing for absolute accountability. We built automated Goods Receipt Note (GRN) reconciliation workflows and 100% automated Purchase Order (PO) generation based on AI insights. Comprehensive audit logs were introduced for total platform traceability, fundamentally transforming how the enterprise managed its supply chain.