TrueCommerce has launched ReplenishAI, an artificial intelligence (AI)-powered solution that leverages AI algorithms to analyze historical sales and generate demand pattern clusters.
Identifying products that follow promotional or seasonal sales patterns is a very manual and time-consuming process—sometimes taking weeks or months. ReplenishAI helps shorten this timeline to hours, reviewing tens of thousands of items, identifying key demand trends, and predicting when inventory spikes will occur. The AI-driven data is integrated into TrueCommerce's VMI solution, delivering demand planning and replenishment optimization. For added confidence, the models are validated against historical data to ensure accuracy and reliability.
The ReplenishAI solution leverages AI to analyze a company’s entire product portfolio, automatically grouping items into clusters based on their unique demand patterns. Some key processes of the solution include:
Data Standardization: Takes product-level demand data over time and standardizes it, ensuring consistency across different units of measure, whether the product is tracked by case, pallet, or other metrics.
Demand Smoothing: Eliminates disruptive data spikes, making it easier to produce generalized, actionable insights for replenishment.
AI-Powered Clustering: Applies algorithms to group products into distinct profiles based on yearly demand trends.