Use AI to reduce the cost (and sting) of returns.
Use AI to reduce the cost (and sting) of returns.
Use AI to reduce the cost (and sting) of returns.
As omnichannel retail and BOPIS grow, customers expect convenient return options like BORIS (Buy Online, Return in Store), leading to increased costs and logistical challenges. Retalon’s AI-driven returns management solution optimizes reverse logistics, forecasts returns, suggests ideal return locations, and transfers products to high-demand areas. This reduces inventory costs, automates return flow, projects demand resale, and integrates returns into a unified order fulfillment process, saving time and resources.
Retalon streamlines returns by evaluating item conditions, suggesting ideal destinations, and simplifying processes. Leverage advanced analytics to optimize assortment, balance inventory, and strategically place merchandise for full-price sales.
Retalon’s unified platform offers award-winning inventory optimization solutions. Gain a comprehensive, dependable view of your business, trends, and inventory flow. This unified approach minimizes costs, waste, and markdowns while promoting sustainable, profitable retail operations.
Retalon’s AI-driven e-commerce returns management optimizes reverse logistics by predicting product return rates and automating return workflows. Integrating returns with your inventory systems streamlines your online returns process, reduces operational costs, and improves sustainability. Gain actionable insights that help you provide a seamless, efficient customer experience tailored to e-commerce.
Retalon’s returns management software is part of a larger, unified inventory suite, tailor-made to simplify complex retailing.
Gain full visibility into critical KPIs, and inventory flow down to store/SKU level through the entire product lifecycle.
Set up smart triggers that automate the returns process making it cost efficient for retailers and easy for customers.
Manage returns as part of a unified analytics solution for inventory optimization, fulfillment, and returns.
Retalon empowers retailers to operate sustainably. Reduce waste, cut costs, and decrease needless markdowns.
Retalon recommends how to best return a product to cut costs, and bring it to a location with demand for resale.
Retalon's software integrates with your existing ERP software, OMS platform, or even homegrown solution.
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Retailers can reduce return costs by replacing one-size-fits-all reverse logistics with intelligent, item-level return routing. Instead of sending every return to the nearest store or central warehouse, returns management software evaluates each item and routes it to the destination where it will recover the most value.
For example, a winter coat returned to a Miami store in spring would normally sit unsold until it’s marked down. Retalon would instead route it to a location still selling winterwear at full price, direct it to e-commerce fulfillment, or send it to liquidation, whichever recovers the most margin. The result is less unnecessary transportation and faster return to saleable inventory.
After a customer sends back an online order, the returned item should follow whichever path recovers the most value: restocked, transferred, marked down, or pulled from active inventory. The right answer depends on the item’s condition and where demand actually exists. A returned pair of running shoes in perfect condition might go straight back to e-commerce stock, while an open-box blender may sell faster at a markdown in an outlet location. Retalon makes these decisions automatically and consistently for every returned item, so nothing sits in a processing queue losing value while it waits for manual triage.
Yes. AI forecasts product returns by analyzing return patterns across product, channel, season, price point, and customer behavior. Retalon predicts expected returns at a granular level and feeds those forecasts directly into inventory planning. If a retailer knows that roughly 30% of a dress style sold online will come back within three weeks, that incoming supply can be counted before placing the next purchase order instead of overbuying stock that returns will replenish anyway. Returns stop being surprises and become a predictable supply stream.
Retailers maximize the value of returned merchandise by making it available for sale where it’s most likely to sell quickly and at full price. Where a returned item ends up matters more than almost any other factor in how much revenue it recovers. Retalon matches every returned item against demand forecasts and inventory needs across all locations, so returned inventory flows toward future demand instead of sitting where it happened to arrive. The result is more revenue recovered with fewer transfers, fewer markdowns, and less excess inventory.
Returns management software handles the process of a return: authorization, shipping labels, refunds, and status tracking. Returns optimization software determines what happens to the inventory afterward, meaning where each returned item should go and how much value can be recovered.
Think of it this way: a returns management system knows a sweater came back and the customer was refunded. It doesn’t know the sweater is worth $40 more if it’s routed to a different region instead of restocked locally. Retalon provides that optimization layer, working alongside the systems that execute the return.
AI-driven return routing weighs multiple factors for every returned item: inventory levels by location, demand forecasts, transportation costs, expected resale opportunity, fulfillment requirements, business rules, and the risk of future markdowns or stockouts. No single factor decides the route. A nearby store might be the cheapest destination but already overstocked, while a location two states away has unmet demand that justifies the freight cost. Retalon evaluates these trade-offs simultaneously and recommends the destination with the best overall balance of cost, service, and profitability.
Yes. Retalon integrates with existing ERP, OMS, WMS, and ecommerce platforms rather than replacing them. The platform pulls inventory, order, return, and demand data from the retailer’s current systems, applies AI-driven optimization, and sends recommended return destinations and inventory actions back to the systems that execute them. Retailers keep every existing workflow intact, and warehouse teams and store associates continue working in the tools they already know while the routing decisions behind the scenes get smarter.