LEAFIO

This demand forecasting software produces short, medium, and long term sales forecasts covering up to a year of planning. Planners can look at expected variance, warehouse load, and seasonal peaks before orders are written, which is the point where most manual processes fall over. Seasonal factors recalculate on their own when demand patterns shift.

This is the core of the platform. Orders are generated and sent to suppliers or your own warehouse without a planner pushing a button, and LEAFIO puts the manual intervention rate at up to 99.5% of orders. Rather than one reorder point applied to everything, three algorithms cover standard SKUs, perishables, and distribution center to store flows. The system can also choose between suppliers, ranking them by the criteria your business sets.

Stock moves through stores, regional warehouses, and a central DC, and the forecast has to respect lead times at every hop. The multi echelon model links supplier lead time to the central warehouse with the delivery schedule to stores, so an order upstream reflects what stores will actually need. Retailers with centralized logic report store ordering work dropping by up to 80%.

The assortment planning software gives category teams store level and cluster level assortment plans instead of one chain wide list. Strategy automation computes the ideal SKU count for each segment down to sub levels such as price band or product type, tied to a sales, revenue, or gross profit goal. Products can be switched on or off for a whole cluster at once, and new or withdrawn items get first order forecasts and withdrawal tracking.

The planogram software builds micro space displays from sales, turnover, and ABC analysis, draws macro floor plans per store, and generates displays automatically from demand data. Planograms are tied to the specific store rather than the chain average, which helps sales per shelf meter. Associates see the planogram in the merchandising app, scan items to find them, and head office gets photo based compliance checks scored by AI recognition.

Trade promotion management starts with a forecast that accounts for the discount, mechanism, and store mix, and you can simulate several discount levels before going live. During the campaign the system tops up stock to the minimum level needed and flags where sales drift from the forecast. Afterwards, past campaign data feeds the next forecast.

This retail execution app puts the dashboard, barcode scanner, and task manager in one place. The scanner picks only the items that need a count before tomorrow's order, so staff scan a short list instead of walking the whole shelf. Tasks flow from head office with deadlines and per store subtasks, and the vendor reports up to 98% inventory accuracy and roughly half the time spent on task management.

A BI module turns the operational data into margin, availability, and turnover views, and the S&OP layer compares your annual plan against the live forecast in money terms. Gaps show up by category and reason, so the conversation moves from who ordered wrong to what the plan should be next quarter.