Order optimization and fulfillment software powered by advanced analytics and AI.
Order optimization and fulfillment software powered by advanced analytics and AI.
Order optimization and fulfillment software powered by advanced analytics and AI.
Retalon’s AI-driven Predictive Analytics optimizes order fulfillment, enabling exceptional customer service while safeguarding margins. This efficient system offers smart fulfillment recommendations, customer satisfaction, reduced inventory costs, and intelligent automation for order management.
Account for crucial fulfillment factors like inventory, demand, delivery time, and logistics costs. The system intelligently delivers items quickly while ensuring online orders don’t compromise walk-in sales. Utilize the accurate demand forecast to balance inventory and assortment, reducing out-of-stocks, lost sales, and markdowns. Configure business rules to minimize exceptions and manual labor for order reviews.
Utilize precise demand forecasts to identify optimal return locations. Retalon simplifies the returns process by assessing item condition, determining shelf readiness, and suggesting ideal destinations. Advanced analytics reorganize assortment, balance inventory, and allocate merchandise to high-demand locations for full-price sales.
Built on one unified analytic platform to simplify the order fulfillment process.
Fulfill online order from stores without cannibalizing walk-in inventory.
Automatically account and optimize for dozens of factors including: inventory levels, demand, delivery time, and costs.
Manage inventory across your business and offer flexible fulfillment without creating inventory distortion.
Quickly and easily configure business rules to reflect constraints, priorities, and preferences of your business.
Get automatic suggestions, optimized for gross margins and profit, on the best way to fulfill every order that comes in.
Retalon's software smoothly integrates with your existing ERP software, OMS platform, or even homegrown solution.
Experience a live demo with our experts to explore hidden opportunities and solve your biggest challenges.
Order fulfillment optimization software determines the most profitable fulfillment strategy for each customer order, identifying the optimal store, distribution center, or fulfillment location from which to ship it. Instead of routing every order by a single fixed rule, the software considers cost, delivery speed, inventory position, and margin for every option and recommends the best one. Retalon’s fulfillment optimization is powered by the same demand forecast that drives its planning and inventory solutions, so every routing decision reflects what each location is actually expected to sell.
An order management system, or OMS, executes and tracks orders. It captures orders from different channels, applies configured routing logic, and manages order status through fulfillment and delivery. Order fulfillment optimization software sits above or alongside the OMS and determines the best fulfillment strategy for each order using inventory, demand forecasts, shipping cost, margin, and business constraints. The OMS executes the order; Retalon optimizes the decision.
Many retailers still route orders using fixed rules, such as the closest store with stock, the lowest shipping cost, or a DC-first hierarchy. These rules are easy to maintain, but they can miss the trade-offs that drive profitability. For example, the closest store may also be the location most likely to sell that item at full price to a walk-in customer. Retalon’s AI evaluates each order against multiple factors at the same time, including current inventory by location, store-level and channel-level demand forecasts, shipping cost, expected delivery time, gross margin impact, configurable business rules, and the risk of future stockouts or markdowns at the source location. The result is a recommendation that balances customer service, fulfillment cost, and profitability rather than satisfying a single rule.
Order fulfillment optimization reduces costs by helping retailers avoid unnecessary transfers, split shipments, high-cost delivery options, and fulfillment decisions that drain profitability. Retalon considers not only the cost to ship an order, but also the value of keeping inventory in locations where it is expected to sell at full price. This helps retailers protect margin while balancing customer delivery expectations.
Retailers can reduce store-sales cannibalization by using fulfillment logic that considers store-SKU-level demand forecasts, not just available inventory. Retalon helps identify which stores are less likely to sell specific inventory within the relevant selling window and recommends those locations first for online demand. This helps preserve full-price sell-through at high-demand stores, clear slower-moving inventory through online channels, and reduce the risk of stockouts or markdowns caused by fulfillment decisions.
