Connect assortment, shelf, inventory, promotions and delivery so teams can automate routine decisions, keep products available and protect margin.

1. 1

   The problem it solvesPlanners spend too much time searching reports and diagnosing routine errors before they can act on an exception.

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   The solution

   Agentic AI assistants move from reporting to action by scanning operational data, explaining forecast drivers, flagging errors and proposing or executing corrections within configured rules. 1

   In promotion planning, the assistant is designed to interpret forecast factors and catch setup mistakes before execution. 2

   In shelf operations, the assistant scans reporting data for assortment or availability problems and proposes fixes. 3

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   See it

   

   A promotion assistant can explain why a forecast moved, detect planning errors and let the planner correct them in a few clicks. Watch at23:37

For:Retail Executives & Transformation LeadersInventory, Demand & Supply PlannersMerchandising, Category & Space Teams

1. 1

   The problem it solvesManual or static ordering leaves popular products unavailable while cash remains tied up in excess stock elsewhere.

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   The solution

   LEAFIO Inventory Optimization forecasts demand at SKU-store level, recalculates target stock and generates supplier or distribution-center orders automatically. 1

   It models multi-echelon flows, supplier schedules, seasonality and shelf facings rather than treating every store as one average. 2

   Baltic Petroleum's deputy CEO says the system now handles routine replenishment while the team focuses on strategic development and customer service. 3

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   The resultAccording to Baltic Petroleum's deputy CEO, cigarette excess inventory fell by 50%, and changing the relevant system settings took 15 minutes.

   customer-videoLukas Kišonas — Deputy CEO, Baltic PetroleumWatch at33:47

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   See it

   

   When sales slow at a store, the target buffer contracts; when demand accelerates, it expands before the next order is generated. Watch at27:46

For:Retail Executives & Transformation LeadersInventory, Demand & Supply Planners

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   The problem it solvesFresh categories force planners to choose between empty shelves and waste when ordinary replenishment ignores expiration and intraday demand.

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   The solution

   Fresh Inventory models day-of-week and intraday demand, remaining shelf life, supplier delivery slots, packaging constraints and acceptable service levels. 1

   It predicts write-off risk and supports multiple same-day orders for categories such as bakery. 2

   Baltic Petroleum's deputy CEO reports that the resulting fresh-product process brought sandwich write-offs from 11% to 3%. 3

3. 3

   The resultBaltic Petroleum's deputy CEO reports that sandwich write-offs fell from 11% to 3% within two months.

   customer-videoLukas Kišonas — Deputy CEO, Baltic PetroleumWatch at33:47

4. 4
   See it

   

   A bakery can place multiple orders on the same day, while the calculation accounts for whether deliveries arrive in the morning, afternoon or evening. Watch at1:03

For:Retail Executives & Transformation LeadersInventory, Demand & Supply Planners

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   The problem it solvesPromo planners frequently protect availability by over-ordering, only to leave working capital trapped in post-promotion stock.

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   The solution

   Promotion Intelligence uses promo type, mechanics, discount, duration, location, additional layout, category and pre- and in-promo sales to forecast uplift. 1

   It updates future orders from actual sales while a campaign is running and identifies analogues for a new item. 2

   Scenario planning can compare discount configurations before launch, while post-promo analytics track availability, turnover and residual stock. 3

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   The resultIn the Novus case presented by the LEAFIO team, promotional availability increased by 2% and post-promotional overstocks decreased two times.

   Watch at30:52

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   See it

   

   For a new promotional item, the tool identifies analogous products as a reference and then updates upcoming orders from actual sales while the campaign is running. Watch at1:11

For:Retail Executives & Transformation LeadersInventory, Demand & Supply PlannersMerchandising, Category & Space Teams

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   The problem it solvesSpreadsheet and email workflows make planograms slow to build, inconsistent across stores and difficult to verify after publication.

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   The solution

   LEAFIO Shelf Efficiency builds item-level planograms from assortment, dimensions and sales, publishes them to store teams, and records photo-backed completion in the mobile app. 1

   Format-level updates can cascade to every relevant store rather than being resent by email; the Pharmacy 911 rollout is presented as moving updates from twice yearly to on demand. 2

   A Plum Market merchandising team member says ABC analytics made it possible to compare locations and adjust the set after three or four months of sales data. 3

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   The resultA Plum Market merchandising team member says stocking a store had usually taken "3 to four weeks with overnights" and was completed "in a week" with the new process.

   customer-videoMerchandising team member, Plum MarketWatch at0:00

4. 4
   See it

   

   A central merchandiser publishes a changed planogram, the store employee receives a task in the mobile app, completes the layout and sends a photo back for verification. Watch at11:23

For:Retail Executives & Transformation LeadersMerchandising, Category & Space Teams

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   The problem it solvesCategory managers cannot continuously review every SKU and store in spreadsheets, so slow movers remain while unmet local demand stays invisible.

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   The solution

   Assortment Performance creates store- or cluster-specific matrices and recommends which SKUs to add, remove or replace against goals such as gross profit or revenue. 1

   It can cluster stores by price point, size, region or other configured attributes, enforce must-carry rules and keep recommendations within shelf capacity. 2

   Approved future-dated changes flow into planogram and replenishment work instead of being re-entered in each system. 3

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   The resultLEAFIO's assortment explainer states: "Cut excess inventory by 20%. Slash markdowns by 30%. And boost sales by 10%."

   Watch at0:00

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   See it

   

   A category manager can schedule a Valentine's Day gift pack for selected store clusters; the system warns when activation would exceed a cluster's capacity and passes accepted changes to shelf and inventory workflows. Watch at20:31

For:Retail Executives & Transformation LeadersInventory, Demand & Supply PlannersMerchandising, Category & Space Teams

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   The problem it solvesCentral teams cannot manually inspect every shelf image quickly enough to prevent missed sales and persistent compliance gaps.

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   The solution

   AI-Powered Out-of-Shelf Recognition compares the approved planogram with store photos or scheduled camera images and highlights empty shelf space across stores. 1

   Computer vision closes the loop between detecting a shelf problem and initiating an operational response. 2

   In the worked demo, the system finds one facing where two were planned, checks a 50-unit stock balance and points to execution rather than inventory as the likely cause. 3

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   See it

   

   In the worked example, the image contains one facing where two were planned, while the system shows 50 units in stock and points to store execution rather than inventory as the likely cause. Watch at18:38

For:Retail Executives & Transformation LeadersInventory, Demand & Supply PlannersMerchandising, Category & Space Teams

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   The problem it solvesAggregate sales totals show that performance changed but do not reveal which item, store, supplier or shelf decision caused it.

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   The solution

   Retail Analytics and BI provides role-specific dashboards for sales, profit, availability, overstocks, lost sales, turnover, supplier reliability and planogram performance. 1

   Like-for-like views compare periods, stores, categories and planograms, while drill-downs expose SKU-location causes. 2

   ABC color bands expose top sellers through zero-movers, while return-rate reports show products or categories with too much or too little shelf space. 3

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   See it

   

   A planogram manager can compare an item's share of shelf width with its share of sales, then use the facing-change recommendation to increase or decrease its space. Watch at29:40

For:Retail Executives & Transformation LeadersInventory, Demand & Supply PlannersMerchandising, Category & Space Teams

1. 1

   The problem it solvesStatic zones and manual routing require excess vehicles, miss delivery windows and cannot consistently account for changing orders or capacity.

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   The solution

   Rinkai TMS imports orders and selects routes and vehicles against distance, cost, capacity, time windows, cargo characteristics, loading time and warehouse throughput. 1

   It accounts for road restrictions and chooses the lowest-cost eligible vehicle rather than simply filling a static zone plan. 2

   The system can recalculate the plan as orders, fleet availability and depot capacity change, reducing reliance on excess vehicles kept only as a buffer. 3

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   The resultIn a customer case presented by the Rinkai team, vehicle use decreased by 22% over seven months, costs decreased by 20%, and extra mileage decreased by 32%.

   Watch at16:37

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   See it

   

   After orders are selected, the optimizer chooses vehicles and stop sequences while filling only the loading slots the depot can actually handle. Watch at7:18

For:Retail Executives & Transformation LeadersLogistics, Dispatch & Delivery Teams

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   The problem it solvesA route plan alone cannot show whether drivers followed it, where delays occurred or which clients and branches create avoidable cost.

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   The solution

   Rinkai TMS compares planned and actual mileage, stop sequence, speed, dwell time and time-window adherence from GPS data. 1

   Maps overlay the planned route with the vehicle's actual path and record unvisited points or unplanned stops. 2

   Analytics can rank drivers and branches, break down delivery cost by client or location, and expose late visits or overruns. 3

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   See it

   

   The route map overlays the planned path in purple with the driver's actual path in orange and records unvisited points and unplanned stops. Watch at2:08

For:Retail Executives & Transformation LeadersLogistics, Dispatch & Delivery Teams

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   The problem it solvesPaper documents, phone calls and disconnected navigation leave dispatchers without timely proof or accurate delivery status.

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   The solution

   LEAFIO RouteSense gives drivers one app for route order, customer calls, navigation, delivery status, barcode scanning, quantity adjustments, payment confirmation, photos, comments and returns to depot. 1

   Dispatchers can constrain processing to the delivery geolocation and receive updated status and proof without paper handoffs. 2

   The app can open routes in OsmAnd or Google Maps, with OsmAnd following the roads planned by the TMS. 3

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   See it

   

   For a partial delivery, the driver changes the quantity, records a reason, confirms payment, adds a photo or comment and sends undelivered goods to the returns-to-depot list. Watch at5:07

For:Logistics, Dispatch & Delivery Teams