Test Buy Retail Forecasting Dashboard
Optimize product distribution by capturing the latest consumer trends with AI.
Eliminate Committing to Large Initial Buys
Identify new product winners and losers to make data-backed bets on initial buys.
Allocate winning products to the channel with the highest propensity to sell based on the trial period.
Maximize product productivity with smart replenishment—down to style, color, size.
Predict performance for net-new stores and store expansions.
Tackle inventory risk of new products—AI recommends ordering with two data points.


Experience the next generation of merchandise demand planning.
Amplify Product Margins
01
Case-Based Reasoning
Make smart inventory decisions and determine an optimal allocation with just two data points.
02
Robust Demand Visibility
Mitigate inventory risk by highlighting multi-channel allocation mismanagement.
03
Efficient In-Season Decisions
Fully integrated into the OTB module for optimal buys and efficient in-season decision making.
04
Inform New Products and Store Openings
Place optimal buys for new collections and stores based on selling data from the test.
Unified Planning Solutions
Streamline inventory processes to improve profitability and operational efficiency.
Navigate today’s planning, forecasting and optimization needs with the most-accurate forecasting engines and vertical-specific algorithms that address multi-channel challenges. Our comprehensive suite of solutions empower you to make dynamic, data-driven decisions for efficient end-to-end operations, enhanced customer experiences and amplified profitability.
Identify Best-Selling Products and Adjust Accordingly
Agile and Dynamic
Adjust OTB budgets based on real-time demand and robust store-level analysis of product potential at specific retail locations based on the latest trends.
Impactful Forecasts
Reduce pre-season buys. Combine sales forecasts with actual demand to extract meaningful information that helps determine optimal buys.
Dynamic Decisions
Make confident stocking decisions with only two data points. Proactively fine-tune retail strategies with data on productive and unproductive inventory situations.