CASE STUDY
AI-Enabled ERP for Hygiene Products Manufacturer
Problem
A fast growing hygiene products manufacturer faced complete disconnection across internal operations. Procurement lacked visibility into production schedules, Sales had no real-time data on available stock, and Finance relied on outdated information. This lack of a unified data source led to simultaneous overstocking of certain materials and critical shortages of others.
Solution
We built a full-company ERP covering production, procurement, sales, warehouse, and finance – featuring an AI demand-planning module that calculates material requirements against supplier lead times to implement Lean Inventory without risking line stoppages.
The core architectural principle: every module feeds every other. A confirmed sales order immediately updates production planning, which updates material requirements, showing procurement exactly what needs ordering and when, while factoring in 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) with real-time production status visible across departments.
AI Demand Forecasting
Machine learning model forecasts demand per SKU from order history, seasonality, and customer patterns. Feeds directly into Material Requirements Planning (MRP) to specify order timing and quantities based on vendor lead times.
Lean Inventory
Calculates dynamic reorder points and safety stock levels per material based on demand variability and supplier reliability, eliminating safety-stock guesswork and avoiding overstocking.
Procurement Management
Handles supplier records, purchase orders, goods receipts, and three-way matching (PO / GR / invoice). Automatically generates procurement recommendations from the Lean Inventory engine for buyer review and approval.
Warehouse & Inventory
Bin-level inventory tracking across raw materials, WIP, and finished goods using barcode-based movements. Provides real-time stock valuation and lot/expiry date tracking for perishable items.
Finance & Management Reporting
Automated accounts payable, accounts receivable, COGS, and product margin reporting generated directly from operational data. Provides on-demand management P&L reports without month-end delays.
Key Achievements
Implementing the ERP with AI-driven Lean inventory within 12 months delivered the following results:
-35%
Reduction in raw material inventory value compared to the previous 6 months
0
Production stoppages due to material shortages over 12 months
-25%
Reduction in time from sales order creation to production scheduling
Why Lean Inventory succeeded
Previous attempts at stock reduction failed because they relied on static minimum stock levels that teams didn’t trust. The AI model made reorder points dynamic and explainable—showing buyers exactly why a specific quantity was recommended based on demand forecasts and supplier lead times. Trust in data 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 showing 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 infrastructure