Forecasting That Fits a ₹50–500 Crore Manufacturer
Custom raw-material, packaging, and lead-time forecasting — built to plug into the ERP you already use, not force a switch to SAP.
Why Mid-Market Manufacturers Struggle with Material Planning
Enterprise IBP suites (SAP IBP, Kinaxis, o9, Blue Yonder) are built and priced for large multinational manufacturers
Most Indian mid-market manufacturers are still running S&OP and material planning on complex Excel sheets
Volatile input costs (polymer, packaging materials, steel) make manual forecasting a direct hit to gross margin
A full enterprise IBP rollout can take 12+ months and a budget most ₹50–500 Crore manufacturers cannot justify
System Architecture
What We Build For You
Raw material and packaging material requirement forecasting, sized to your actual production planning cycle
Lead-time prediction models trained on your supplier performance and historical purchase order data
Production and business planning aligned to IBP principles — without the SAP-scale footprint
Seamless integration with the ERP/tools you already run (Tally, Zoho, in-house databases), avoiding a rip-and-replace
4-Step Rollout
How It Works
ERP & Data Audit
We map your current Tally/Zoho/ERP data structure, historical sales orders, and BOM explosion logic.
Custom Model Training
We train forecasting models against your seasonality, lead-time variances, and supplier performance.
Planning Dashboard Integration
We deploy an intuitive planning dashboard that generates weekly material purchase requisitions.
Ongoing Accuracy Tuning
Continuous model optimization to adapt to price volatility and shifting customer demand patterns.
Solution FAQs
How is this different from implementing SAP IBP?
SAP IBP requires 12+ months and crores in consulting. Our right-sized solution deploys in 6-8 weeks at a fraction of the cost, focusing specifically on your raw material and packaging bottlenecks.
Does this replace our ERP or sit alongside it?
It sits alongside your existing ERP (Tally, Zoho, custom SQL database). We pull historical transactions and push generated material requirements back via APIs.
How much historical data do you need to build an accurate model?
Ideally 12 to 24 months of sales orders, purchase orders, and BOM records produce high-confidence forecasts.
What's a realistic timeline for a first working forecast?
We deliver a baseline working forecast model within 3 weeks of receiving your sample historical datasets.