LEAFIO is AI-driven replenishment software for retail chains. It automatically orders goods to the point of sale or distribution center based on accurate demand forecasts, generating and dispatching purchase orders on its own, start to finish.
Automated replenishment pays off across the business, not just on the warehouse floor. Top management gets clear visibility into problem areas and inventory performance in a few clicks, while planners get their time back.
sales increase
average stock reduction
improved inventory turnover
operational cost saving
increased product availability
reduction of excess inventory
LEAFIO AI’s automatic replenishment system calculates the required order quantity for every SKU, factoring in minimums, maximums, and order multiples. It generates and dispatches orders automatically, adjusts them based on supplier feedback, controls execution, and selects the optimal supplier for each order, keeping inventory levels optimal across the supply chain.
On each scheduled order day, LEAFIO forecasts demand per product per point of sale, checks stock and quantity in transit, and calculates the order, accounting for lead times and other parameters. Three algorithms handle the calculation by product type: CDA for standard SKUs, FRESH for perishables, DFO for DC-to-store flows, each building a three-zone buffer (green, yellow, red) for baseline demand, variability, and safety stock. One-time replenishment needs and ERP-driven reserve stock stay separate, so a seasonal top-up never gets confused with permanent safety stock.
Ordering works differently at each level of the retail network. LEAFIO runs a dedicated DFO algorithm for distribution-center-to-store flows, alongside CDA for standard store-level SKUs. DFO aggregates real demand from every store a DC feeds, then calculates how to distribute available stock across the network, redistributing surplus to the stores that need it most. Each store still gets its own buffer, calculated per store per SKU, so central distribution stays grounded in what’s happening on an individual shelf.
Perishables carry a shelf-life clock unique to them, and need a buffer that accounts for it. LEAFIO’s FRESH algorithm sets a statistical service-level target for each SKU, adjusted for the remaining shelf life at delivery and for day-of-week demand patterns, and gives category managers a choice of rounding mode: favor full availability, balance the two, or favor fewer write-offs when shrink is the bigger cost. This runs alongside the standard algorithm for the rest of the assortment, so a grocery or convenience retailer runs fresh and packaged goods from the same system.
A promotion changes demand before it changes the buffer, if the system waits for sales data to catch up. LEAFIO adjusts the buffer ahead of the promotion’s start date, using one of several uplift models, including machine-learning forecasts from Promo Tools when the integration is enabled. When a promotion ends, the buffer transitions to make-to-order and tracks a sell-through date for the remaining stock, giving leftover inventory a clear point to clear before it becomes post-promo surplus. Overlapping promotions on the same SKU resolve automatically, with the system reconciling which campaign applies.
Every day, according to the assortment matrix and schedules, the corresponding number of purchase and transfer orders is generated. The order formation process takes place at the reorder point immediately after forecasting demand. Orders are automatically generated for managers before their workday begins, based on the assortment matrix and schedules. Depending on the size of the retail chain, the number of purchase and transfer orders generated each day can vary, sometimes reaching thousands of items. A configurable reorder threshold ties order generation to a minimum meaningful quantity, keeping daily order volume proportional to actual replenishment need.
Once the orders have been generated, they are automatically sent to the client’s order management system, as well as to the supplier’s mail or via EDI. If a temporary internet connection failure prevents an order from dispatching, the user is notified. Such an order will immediately appear as an assignment on the manager’s dashboard. Re-sending of the order is also enabled.
Once a supplier has received an order, they can provide feedback on the products that will be delivered based on what they have in stock. If the delivery quantity differs from the quantity ordered, this is automatically displayed in the dispatched orders form, which in turn also affects the quantity of goods in transit.
Automated inventory replenishment software tracks the order delivery time. The manager is notified if the order remains unfulfilled past that time. Also, information about late, unfulfilled orders is recorded in the analytical report on suppliers’ reliability. Availability is tracked as a standing percentage metric, the share of days a SKU held stock above its safety buffer, so a category manager can see erosion in product availability building well before it turns into a stockout.
When a product can come from more than one source, whether an external supplier or your own distribution center, LEAFIO finds the most profitable option before the order is even calculated. You define the criteria that matter, such as price, lead time, quality, and service level, and weight each one by priority. The software then evaluates every source against them and selects the best one across warehouses and individual stores. Built-in supplier analytics track delivery performance over time, so each choice reflects proven, long-term reliability. When a supplier’s performance declines, the response is targeted: additional buffer is added only on high-demand or thin-buffer items with weak alternative coverage, keeping working capital efficient everywhere else.
Once a source is selected, every calculated quantity is rounded to that supplier’s packaging multiple and checked against the SKU’s minimum order quantity, so the order that reaches the supplier is one they can actually fulfill.
We’re happy to discuss your business’s needs and share how LEAFIO’s market-leading, unified platform can help you drive profitable growth across your sales and distribution channels.
Every order rests on demand forecasts, seasonality, promo buffers, and stock at every level of your network. See what feeds the order, and what it feeds in return.
Explore Inventory Optimization SolutionReplenishment software calculates when and how much inventory to reorder, so every store holds the right stock. AI replenishment forecasts demand for every product at every point of sale, checks current stock and quantities already in transit, and calculates the order within supplier lead times and minimum order quantities. LEAFIO selects one of three algorithms by product type: CDA for standard SKUs, FRESH for perishables, and DFO for DC-to-store flows. Each builds a three-zone buffer (green, yellow, red) covering baseline demand, variability, and safety stock. The system generates ready-to-send purchase orders automatically, which improves product availability and reduces excess inventory.
Yes, when ordering is still manual and depends on spreadsheets and individual planners. Automated replenishment recalculates every order from real demand, stock, and in-transit quantities, so stockouts and overstock shrink, late and emergency orders give way to a planned schedule, and procurement teams focus on exceptions. At Local Discounter, LEAFIO Inventory Optimization cut store staff ordering workload by 80% and improved inventory turnover by 15%.
The more manual the current process, the faster the effect, and results show up as soon as the pilot stores go live. Implementation timelines start at two months, depending on project scope, and the rollout runs as a joint project with your team.
An AI-driven replenishment solution like LEAFIO AI adapts continuously to changing demand, promotions, and delivery schedules, where traditional methods apply static rules. Reorder points stay current, manual overrides become rare, and the system responds to demand shifts faster than spreadsheet-based planning. Comparing options directly? See how LEAFIO stacks up against other retail replenishment platforms.
Yes. LEAFIO’s automatic inventory replenishment system supports multi-store, multi-warehouse, and multi-format environments by aligning demand and stock across the entire network. It balances inventory between locations, detects risks early, and keeps availability consistent, with every store managed from one system. For networks with regional or central warehouses feeding multiple stores, multi-echelon allocation extends this same logic across every level of the supply chain. In convenience and forecourt retail, Baltic Petroleum replaced ordering by 84 store managers with a team of 4 head-office specialists, while Viada Baltija cut overstock by 35% using the same network-wide approach.
Yes. LEAFIO AI integrates with existing POS and ERP environments and uses actual sales and inventory data from them. It works with SAP, Oracle, and other major retail ERP platforms. LEAFIO reads data from your ERP and sends orders through EDI, email, or your order management system, so replenishment decisions rest on reliable inputs and your current retail workflow stays in place.
Suggested orders are generated automatically on each scheduled order day, based on the assortment matrix and delivery schedules for each supplier. Order formation happens right after demand forecasting, at the reorder point, so purchase and transfer orders are ready on the manager’s dashboard before the workday starts. A configurable reorder threshold ties generation to a minimum meaningful quantity, keeping daily order volume proportional to actual replenishment need.
LEAFIO uses two-part pricing: a one-time implementation fee and an ongoing subscription that scales with store count and SKU volume. On average, clients reach payback on their investment within six months of using LEAFIO. Request a demo to get a quote built around the size of your network and assortment.
