Engineering an Intelligent Process Automation (IPA) mesh to synchronize inventory telemetry with automated purchase orders—eliminating stock-outs across 100+ global locations.
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High-volume consumable logistics requiring hyper-local demand matching across 100+ distinct sites.
IPA Architect + 2 Backend Engineers + ERP Integration Specialist embedded within Supply Chain Ops.
Transitioning from manual, error-prone email-based ordering to a self-healing autonomous PO mesh.
Event-driven ERP bridges, Computer Vision for inventory, and predictive demand modeling.
The client managed procurement for 100+ locations via fragmented spreadsheets and manual input from franchise managers. This 'Execution Gap' led to a 15% discrepancy between actual stock and reported inventory, resulting in frequent emergency shipments and excessive waste.
The risk was commercial: stock-outs of high-margin consumables were eroding guest satisfaction scores, while manual PO processing was costing the corporate office $40,000/month in avoidable administrative overhead.
Franchise managers placed orders based on visual estimates and gut feeling.
Predictive models trigger orders based on verified consumption telemetry.
Procurement logs were trapped in disparate inboxes with zero central auditability.
Centralized, immutable ledger of all PO triggers, vendor responses, and delivery logs.
Hiring more corporate admin staff was required for every 10 new franchise sites.
Elastic architecture manages 100 or 1,000 sites with zero increase in head office OpEx.
The AI dynamically selects the optimal vendor for each site based on real-time pricing, lead-time, and regional stock availability.
Automated matching of POs, Invoices, and Delivery Slips identifies invoice fraud or short-shipments immediately.
Procurement levels adjust in real-time as hotel bookings fluctuate, preventing overstocking during unexpected cancellations.
Pre-built logic for secure, authenticated PO transmission to Tier-1 hospitality suppliers.
Production-ready streaming templates for rapid site-to-cloud stock synchronization.
Real-time dashboard for delivery status, transit delays, and multi-node stock health.
Automated spend-limit enforcement to maintain site-level profitability targets.
Automation eliminated manual administrative tasks, reducing corporate procurement overhead by 25%.
Predictive demand matching reduced perishable spoilage and over-stocking across the franchise network.
Autonomous triggers reduced the cycle time from 'low stock' to 'vendor PO' from 48 hours to 2 minutes.
Client Testimonial
Coretus didn't just build an ordering tool—they engineered an autonomous procurement mesh that bridged our edge locations with our global supply chain. We eliminated stock-outs and administrative noise in under 90 days.
Chief Operating Officer