CASE STUDY
AI-Enabled ERP for Hygiene Products Manufacturer
Problem
A fast growing hygiene products manufacturer faced total disconnection across its internal operations. Procurement lacked visibility into production schedules, Sales had no real-time data on available stock, and Finance worked with outdated information. This lack of a unified data source led to simultaneous overstocking of some materials and critical shortages of others.
Solution
Build a full-company ERP covering production, procurement, sales, warehouse and finance — with an AI demand planning module that calculates material requirements against supplier lead times to implement Lean Inventory without risking production stoppages.
We designed the system around a single principle: every module feeds every other. A confirmed sales order immediately updates production planning, which immediately updates material requirements, which immediately shows procurement what needs ordering and when — accounting for each supplier’s delivery lead time.
Key Features
Production Planning
Production orders, materials, work-in-progress tracking across all product lines: maxi pads, medical garments, gloves, wet wipes. Real-time production status visible to every department.
AI Demand Forecasting
ML model forecasts demand per SKU from order history, seasonality and customer patterns. Forecast drives material requirements planning (MRP) — the system knows what to order, how much and when, accounting for each supplier’s lead time.
Lean Inventory
Dynamic reorder points and safety stock levels calculated per material based on demand variability and supplier reliability. Target: minimum inventory that guarantees zero production stoppages — eliminating the safety-stock guesswork that drove overstocking.
Procurement Management
Supplier management, purchase orders, goods receipt and three-way matching (PO / GR / invoice). System generates procurement recommendations from the Lean Inventory engine — buyer reviews and approves rather than manually calculates.
Warehouse & Inventory
Bin-level inventory tracking across raw materials, WIP and finished goods. Barcode-based goods movements. Real-time stock valuation. Lot and expiry date tracking for materials with shelf life.
Finance & Management Reporting
Accounts payable, accounts receivable, cost of goods sold and product margin reporting — all generated from operational data with no manual re-entry. Management P &L on demand, not at month end.
Key Achievements
Implementation of ERP with AI-driven Lean inventory within 6 month lead to results listed below.
-35%
Raw material inventory value vs 6 months before.
0
Production stoppages due to material shortage in 12 months
-25%
Time reduction from sales order to production schedule
Why Lean Inventory become successful
Previous attempts at stock reduction had failed because they used static minimum stock levels that nobody trusted. The AI model made the reorder points dynamic and explainable — showing the buyer exactly why a particular quantity was being recommended based on demand forecast and supplier lead time. Trust in the system replaced the instinct to over-order “just in case”.
Facing similar manufacturing management challenges?
Ready to optimize your production and lean inventory? Let’s talk about your current operational challenges. Schedule a discovery call, and our team will deliver a free 4-6 page strategic blueprint on how a custom AI-driven ERP can solve them.
Stack & Architecture
Frontend
React + TypeScript
All UI for ERP solution
Backend
Java / Spring Boot
Business logic, MRP engine, AI model serving
AI / ML
Prophet + XGBoost
Demand forecasting with seasonality, safety stock calculation
Database
PostgreSQL
Single source and data storage
Barcode
Zebra / mobile scan
Warehouse goods movements, goods receipt
Infrastructure
AWS
Hosted SaaS solution
