Challenge
Legacy stock logs led to recurring production line stoppages due to critical components going out of stock.
AIMS Inventory System Enterprise AI // Logistics & Manufacturing
An enterprise-grade asset & inventory management suite powered by predictive analytics.
74% Reduction in warehouse stockouts
80% Faster purchasing cycles
Category Enterprise AI
Industry Logistics & Manufacturing
Client Target Global Supply Chain Ops
Timeline 12 weeks
Key Features & System Architecture
Core deliverables and functional features designed for this build
01 // Agent Core
Predictive restocking
Forecasts stock depletion rates and generates automated purchase order drafts.
SAP ERP SendGrid alerts OpenAI APIs S3 storage PostgreSQL core DB
02 // Core Console
Multi-site synchronization
Coordinates inventory levels, transfers, and backorders across multiple warehouses in real-time.
03 // System Node
Barcode scan utility
High-performance mobile-web scanning utility with offline queueing support.
04 // Integration
Supplier auto-dispatch
Integrates with supplier portals to trigger orders when safety stock thresholds are breached.
Case Study
A global manufacturer needed to automate inventory tracking. We built AIMS with demand forecasting and automated ERP order generation.
Approach
We built a time-series forecasting model, mapped stock movement webhooks, and integrated direct API handshakes with their core ERP databases.
Outcome
Stock availability stabilized above 99.8%. Weekly manual purchasing reviews were cut from 15 hours to under 2 hours.
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