Translytics’ AI-driven supply planning transforms traditional planning into a dynamic, intelligent system that predicts demand accurately, optimizes stock levels, and automates procurement. Empower your supply chain to become more responsive, cost-efficient, and data-driven with AI insights and real-time analytics.
Using advanced ML models, Translytics processes historical demand, seasonality, promotions, and supply data to generate accurate forecasts. The system automatically recommends replenishment actions, alerts risks, and optimizes allocations across your supply chain network. This enables synchronized planning across procurement, manufacturing, and logistics.
• In retail, dynamic demand sensing ensures better shelf availability during festive sales.
• In manufacturing, raw material planning is optimized to reduce downtime.
• In logistics, predictive replenishment minimizes last-mile inefficiencies.
A global FMCG giant reduced inventory holding costs by 20% while improving availability across 3,000 stores. Another e-commerce leader shortened lead times by 35% by integrating our AI solution with their WMS and supplier portals.
According to Gartner, AI-driven planning is a top priority for digital supply chains. Partnering with Translytics ensures you're not just following trends — you're setting them.
Integrate comprehensive and standardized data from the user Data Lake into the supply planning process, including demand forecasts generated by the TranslytiX engine, to ensure consistency and accuracy in decision-making.
Implement an approval process for supply planning to ensure alignment with organizational goals, and resource availability, enhancing transparency and accountability.
Perform multilevel inventory netoffs across warehouses and plants to optimize inventory distribution, minimize carrying costs, and ensure efficient utilization of resources.
Utilize demand forecasts generated by TranslytiX engine to plan PR schedules and inventory levels for finished goods, ensuring alignment with anticipated demand.
Implement a systematic approach for placing purchase requisitions (PRs) for materials, prioritizing based on urgency and demand forecasts to maintain optimal inventory levels.
Determine and maintain optimal inventory levels for each item to prevent stockouts while minimizing excess inventory, leveraging demand forecasts and historical data for accurate planning.