Our system leverages advanced statistical and AI models to automate demand forecasting with seasonality and trend insights. It supports both quantity and monetary value planning, enabling accurate stock allocation across channels. Planners can make faster, data-driven decisions to optimize inventory and reduce markdowns.
Unveiling the Root: Our solution analyzes customer behavior, reviews, and satisfaction to uncover return causes, unmet demands, and shifting expectations. Through automated review analysis, it highlights critical keywords and themes, providing clear, actionable insights. We track both overall and product-level satisfaction to help retailers monitor progress and target improvements. The system also identifies return patterns, loyal high-value customers, and suspicious behaviors like wardrobing and bracketing, leading to reduced losses, better products and a more trusted, data-driven customer experience.
Vendor Performance Analytics delivers automated, detailed reports for each vendor, highlighting total sales, return rates, net sales, and customer sentiment through our Emotion Engine Score. It identifies top return reasons, such as “Poor Quality” or “Wrong Item Received” and links issues to specific products. With built-in filter and sort tools, retailers can easily track underperforming vendors, uncover product issues, and make data-driven decisions to improve outcomes and reduce returns.
