IndiaManufacturing2025 – ongoingAmbuja Cements
Poorvaanuman forecasts packaging and raw-material demand
Ambuja reported over 95% accuracy in packaging-demand forecasts
Problem
Ambuja needed to plan supplies of cement packing bags and polypropylene granules. Demand forecasts supported procurement and waste reduction.
Approach
Ambuja introduced Poorvaanuman through Adani AI Labs. The tool used XGBoost and LSTM models to forecast demand for packaging and raw materials.
Results
over 95%forecasting accuracy for packing bags and raw materials, reported by Ambuja
Takeaway
Ambuja reported forecasting accuracy, without disclosing a measurement method or realized financial savings.
Categories
- Size
- Large enterprise
- Industry
- Manufacturing
- Business function
- Logistics and supply chain
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
[1]Ambuja Cements2025
Ambuja's FY2024-25 report described Poorvaanuman as an introduced forecasting tool within Adani AI Labs. It reported accuracy above 95% and identified XGBoost and LSTM as the models used.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026
