End-to-End Automation of Every Merchandising Step, Seamlessly Integrated. Think less. Plan faster. Sell more — with zero friction across the merchandising lifecycle
Forecast Demand, Style Success, and Sales Patterns with Machine Learning Precision. Buy with foresight. Allocate with accuracy. Win with data
Intelligent Allocation & Replenishment That Tracks Real-Time Sales Velocity and Local Demand. Perfect placement isn’t luck — it’s algorithmic
From Style Introduction to Smart Exit, Manage Every Phase with Intelligence. Ride the retail lifecycle with full visibility and control
Usage : Automate end-to-end merchandise planning across categories, styles, regions, and time periods using real-time data and AI recommendations.
Impact : Eliminate overbuying and understocking by predicting demand at granular levels. Improve decision accuracy and reduce planning time by 70%.
Usage : Use AI and ML to create the right product mix by store type, region, and customer profile. Optimize seasonal and core assortment with accurate size and color ratios.
Impact : Boost store-wise sell-through rates by up to 35% and reduce inventory holding costs.
City-Wise. Store-Wise. Zone-Wise. Ultra-Localized Assortment Planning at Scale. One strategy doesn’t fit all — but one platform can power them all
Real-Time Nudges, Risk Warnings, and Lifecycle-Based Interventions. Stay one step ahead with proactive AI signals
Dynamic Budgeting Based on Sales Trends, Sell-Through, and Margin Goals. Control inventory spend without compromising customer demand
Configurable Business Logic, Smart Defaults, and Continuous Learning. Your policies. Our precision
Usage : Automate allocation and in-season replenishment based on sales velocity, size availability, and real-time stock movement.
Impact : Maximize full-price sell-through and reduce stock-outs or dead stock.
Usage : Define purchase budgets based on planned sales, inventory turnover, markdowns, and replenishment cycles — with live adjustments.
Impact : Prevent overbuying and underbuying while aligning inventory flow with seasonal demand and financial goals.
Usage : Synchronize merchandising across physical stores, e-commerce, marketplaces, and partners from a single intelligent dashboard.
Impact : Enable true omnichannel commerce with consistent assortment and availability.
Usage : Monitor SKU-level sales, inventory turnover, stock cover, and size performance with live dashboards.
Impact : Enable instant decision-making and reduce reaction time to demand fluctuations.
Usage : Continuously monitor sell-through and stock cover by SKU-location to auto-trigger replenishment or transfer requests.
Impact : Maintain optimal stock levels without manual tracking.
Usage : Predict and assign optimal size-sets per location based on past demand, demographics, and footfall.
Impact : Reduce size-related stockouts and improve customer satisfaction with better fits.
Usage : Create smart store clusters based on sales, demographic, climate, and behavioral data to tailor assortments.
Impact : Improve regional productivity and reduce returns due to misaligned stock.
Usage : Use predictive models to decide what, when, and where to markdown for optimal clearance without hurting margins.
Impact : Improve liquidation efficiency and protect up to 20% of markdown revenue leakage.
Usage : Align demand forecasts with upstream vendors, distribution centers, and last-mile logistics in real time.
Impact : Reduce stock-outs and avoid warehouse pile-ups by enabling just-in-time stock movement.
Usage : Get proactive AI-driven nudges for actions like restocking, reordering, clearance triggers, or price adjustments.
Impact : Minimize manual intervention and let AI guide merchandising agility.
All your merchandising decisions — connected, cohesive, and contextual
Navigate every SKU to its optimal destination with data-powered precision