This enterprise manufacturer was experiencing ongoing inefficiencies throughout its supply chain operations. Limited real-time visibility and manually managed processes led to bottlenecks in forecasting and inventory management. Inadequate SKU segmentation and the absence of structured ABC/XYZ analysis contributed to forecast inaccuracies across multiple product categories. Additionally, logistics delays and a lack of proactive replenishment alerts hindered responsiveness. The organization’s reliance on time-intensive reporting and manual tracking further strained resources, resulting in operational fatigue and reduced overall efficiency.
Translytics deployed its AI-powered Decision Engine to unify forecasting, inventory management, and replenishment processes. The solution introduced structured SKU segmentation with ABC/XYZ analysis, real-time visibility across inventory and logistics, and proactive replenishment alerts. By automating manually driven processes and enabling smart decision-making, the platform delivered faster planning, reduced inefficiencies, and optimized resource utilization.
AI-driven precision for faster, more accurate forecasts.
Complete inventory and demand insight for proactive decisions.
Timely notifications to prevent stock-outs and overstock.
Rapid detection of forecast gaps for optimized planning.
"With Translytics’s AI-powered Decision Engine, we achieved real-time visibility across forecasting, inventory, and logistics. The automation eliminated manual bottlenecks, improved accuracy, and delivered measurable cost savings that directly enhanced our competitiveness."