Gulf Coast Manufacturer (Anonymous)

A 30-year-old industrial parts manufacturer managing 3,000+ SKUs relied on spreadsheets, gut instinct, and a legacy ERP — resulting in monthly stockouts, production delays, and ~$800,000 tied up in slow-moving inventory. The operations manager spent 25+ hours weekly on manual inventory tasks. Off-the-shelf solutions couldn't integrate with their specialized ERP or handle their unique industrial demand patterns.

Charpen Consulting built a custom inventory intelligence platform with a Predictive Demand Engine (ML model trained on 3 years of historical data, forecasting 90 days out at SKU level), an automated reorder system that generates POs based on predicted demand and lead times, a real-time dashboard, and a bidirectional ERP integration layer eliminating double-entry. The system also surfaced hidden patterns: cross-sell bundles, pre-maintenance demand spikes, and the 12 suppliers causing most delays.

Within four months the system achieved full ROI. Inventory carrying costs dropped 35%, freeing over $280,000 in working capital. The manufacturer had zero stockouts in the following six months (down from 3–4 per month). Demand forecast accuracy rose from ~60% to 92%, and the operations manager reclaimed 25 hours per week previously spent on manual inventory work.

• Custom beats off-the-shelf when legacy integration matters — a tailored ERP connector unlocked value no packaged solution could match.
• AI amplifies institutional knowledge — training the model on 30 years of operational patterns made it dramatically more accurate than generic baselines.
• Prioritizing high-impact features first compressed ROI from a projected two years to four months.