Retail decisions that act on themselves.

Turns a financial goal into a unit plan, moving units toward categories that sell and out of the ones that don’t, to lift overall sell-through and GMROI.

• Target-to-Plan ConversionTranslate your business revenue goals into unit merchandise plans across stores, categories, sizes and month level.
• Productivity-Led AllocationShift inventory away from slow-moving products and redirect it toward high-velocity products to maximize sales and inventory returns.
• Dynamic Target ReallocationDynamically adjust product, category and store plans as actual performance unfolds, shifting future investment toward emerging opportunities.

Bottom-up demand forecasting at store × item × week, built from the lowest level up, so the numbers still hold wherever you aggregate them.

• Store × Item × Week ForecastGranular demand forecast at store, item and weekly level.
• Peak, Event & Seasonality CaptureAutomatically accounts for seasonal patterns, festivals, promotions and demand peaks.
• New Item & Analog ForecastingForecasts new launches using comparable styles, attributes and historical analogs.
• Dynamic Forecast ReconciliationContinuously adjusts forecasts using actual sales, recent trends, stock availability and forecast accuracy.

An inventory model for every store, shaped by that store’s own characteristics, covering each path a unit can take to the shelf.

• Store-Level Size & Depth OptimizationDefine the ideal size curve and inventory depth for every store based on local demand and selling patterns.
• Warehouse-to-Store ReplenishmentIdentify store-level inventory gaps and determine what, where and when to replenish from the warehouse.
• Store-to-Store Inventory RebalancingReallocate inventory from underperforming stores to stores with stronger demand, reducing the need for additional purchases.
• Purchase Order Chase & CancellationIdentify purchase orders that need to be expedited, deferred or cancelled based on the latest demand and inventory position.

Deep store profiles that inform every downstream decision and feed financial planning, so unit plans reflect how each store actually behaves.

• Store DNA ProfilingBuild a unique profile for every store based on sales behaviour, customer preferences, price sensitivity, category mix, product affinity and inventory productivity.
• Intelligent Store ClusteringAutomatically group stores with similar demand and shopping behaviour, going beyond traditional store grades or geographic clusters.
• Customer Behaviour MappingIdentify whether a store’s customer base is value-driven, premium, trend-led, occasion-led, brand-driven or convenience-oriented.
• Cluster-Specific Assortment StrategyRecommend differentiated assortment breadth, depth and size curves for each store cluster instead of applying a one-size-fits-all approach.

Forecasts the right markdown for an upcoming event or for clearing ageing stock, then optimises depth and timing for revenue.

• Event Markdown ForecastingIdentify the optimal markdown level for an event and forecast the expected sales and sell-through at that price.
• Ageing Inventory & EOSS OptimizationIdentify ageing inventory and recommend the right liquidation timing and markdown strategy before inventory becomes a liability.
• Markdown OptimizationIdentify the markdown strategy that delivers the optimal balance of sales and margin, helping achieve both top-line sales and margin targets.