How We Delivered 40% Cost Reduction for a Pune-Based Manufacturing Enterprise
Legacy ERP Causing Blind Spots Across the Supply Chain
A mid-sized auto-component manufacturer in Pune was running on a decade-old ERP system. With 3 production plants, 200+ suppliers and daily output of 15,000 units, the lack of real-time visibility was creating cascading failures - from production delays to excess inventory worth ₹4 crore sitting idle.
AI-Augmented ERP with Predictive Neural Pipelines
Digital AIML built a custom AI layer on top of the existing ERP - avoiding a costly full rebuild - using elastic cloud inference and predictive ML models to deliver real-time actionable intelligence to every department.
Technical Architecture
- Real-Time Data Pipeline: Custom ETL pipeline syncing production, inventory and procurement data every 5 minutes via API connectors - eliminating the 48-hour lag.
- Demand Forecasting Engine: XGBoost + LSTM neural pipeline trained on 4 years of sales and production data, achieving 98% forecast accuracy at SKU level.
- Intelligent Scheduling Module: Gemini 1.5 Pro-powered agent that analyzes machine availability, order priority and material stock to generate optimized production schedules.
- Automated Reconciliation: Fine-tuned document extraction model handling invoice-to-PO matching, flagging discrepancies and auto-approving matched transactions.
- Elastic Cloud Inference: All models deployed on auto-scaling endpoints to handle month-end peaks without additional infrastructure investment.
Measurable ROI Delivered Within 12 Months
The AI-augmented ERP system transformed operations within the first quarter. The manufacturer achieved a full 3.2x ROI within 12 months, with benefits compounding as models improved on new production data.
Related Services Used in This Engagement
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| Industry | Manufacturing |
| Company Size | 500 - 1000 employees |
| Location | Pune, India |
| Timeline | 16 weeks to full deployment |
| Daily Output | 15,000+ units/day |
| Primary Model | XGBoost + LSTM + Gemini 1.5 |
