Returns are no longer an afterthought

Retailers have invested heavily in improving the customer buying experience by enhancing websites and ensuring faster fulfillment and seamless omnichannel journeys. That said, one of the most critical customer interactions often begins after delivery: the Return. Returns are no longer just a post-purchase process. They are a critical part of customer experience and brand loyalty. 

The scale of the "Return" challenge is significant. Retail returns reached approximately $890 billion, with nearly 16.9% of annual retail sales returned. Additionally, 76% of consumers consider free returns a key purchase factor, while 67% say a poor return experience would discourage them from shopping with that retailer again.  

Source: National Retail Federation (NRF) and Happy Returns, Consumer Returns in the Retail Industry Report 2024. Website | Report 

Returns are an Inventory decision 

Consider a customer returning an online-purchased jacket. What appears to be a simple refund request raises several questions: 

• Can the store accept the return? 

• Should the refund be immediate? 

• Should the store keep the inventory? 

• Can another location sell it faster? 

• Is an exchange available? 

This means a return is not just a customer service transaction. It is an inventory, fulfillment, and financial decision. 

A returned jacket in Chicago may not need to be shipped back to its original distribution center. If a nearby store is experiencing high demand for that product, the retailer may choose to route the item directly to that location. This reduces transportation costs, shortens the time required to make the item available for sale again, and improves overall inventory productivity. 

The shift to Intelligent Returns 

Traditional retail viewed returns as: 

Sell → Ship → Return → Refund 

Modern retail requires a different model: 

Sell → Fulfill → Return → Reposition inventory → Resell/exchange 

Returned inventory remains a valuable asset. Decisions about where inventory goes next can influence logistics costs, inventory availability, sell-through rates, markdown risk, and customer satisfaction. 

The key question is no longer "How fast can we refund?" but "How can we maximize the value of the returned product?" 

Where Manhattan Active Omni helps 

Customers expect flexibility, including: 

• Buy Online, Return in Store (BORIS) 

• Buy In Store, Return Online (BISRO) 

• Cross-channel exchanges 

• Quick refunds 

Delivering these experiences requires coordination across orders, inventory, payments, and fulfillment. 

Manhattan Active Omni (MAO) enables retailers to support omnichannel returns through real-time inventory visibility, automated refund workflows, intelligent routing, and enterprise-wide inventory optimization. Instead of automatically sending a returned item back to its original fulfillment center, MAO can help retailers make smarter inventory decisions based on demand and availability. 

Returns can drive revenue 

Returns are often viewed as lost sales, but they can create new opportunities. Customers returning items may exchange products, buy another size, purchase additional items, or respond to in-store promotions. 

A convenient return experience improves customer confidence and encourages repeat business. The objective is not to make returns difficult, but to make them effortless for customers and profitable for retailers. 

The AI-powered future of Returns 

The next phase of returns management will move beyond automation toward intelligent decision-making. 

Imagine an AI-powered returns ecosystem that continuously analyzes inventory demand, customer behavior, fulfillment capacity, transportation costs, product lifecycle data, and return patterns in real time. Instead of simply processing a return, AI can help retailers optimize both customer outcomes and business performance. 

AI-enabled Returns Management can: 

• Recommend the most profitable destination for returned inventory 

• Offer exchanges or alternatives before a refund is issued 

• Detect potential return fraud and policy abuse patterns 

• Predict markdown risk for slow-moving or seasonal inventory 

• Prioritize products that should be resold immediately 

• Forecast the financial impact of returns across locations and channels 

• Identify recurring product quality or sizing issues driving return rates 

For example, rather than routing a returned item back to its original fulfillment center, AI could identify a nearby store with stronger demand and automatically recommend redirecting the inventory there. This reduces transportation costs, accelerates resale, and improves inventory utilization. 

AI can also enhance fraud prevention. A customer who repeatedly purchases high-value items and returns them shortly after purchase may exhibit behavior that traditional rules-based systems fail to detect. By analyzing historical transactions, return frequency, customer behavior, and product attributes, AI can identify suspicious patterns and recommend additional validation steps while keeping the experience frictionless for legitimate customers. 

Another valuable application is markdown optimization. If a seasonal product is returned late in its selling cycle, AI can evaluate demand across the network and predict the location most likely to sell the item at full price. Instead of sending the product back to a low-demand facility, it can be routed to a location with stronger sales potential, maximizing recovery value and reducing markdown exposure. 

Beyond individual transactions, AI can help retailers identify systemic issues. For instance, if a particular product consistently generates size-related returns, AI can surface the trend, enabling merchandising, product, and supply chain teams to address the root cause. This transforms returns data into actionable business intelligence rather than simply an operational metric. 

With real-time inventory visibility and orchestration capabilities already available in Manhattan Active Omni, retailers are building the foundation for a future where returns are not only processed intelligently but continuously optimized across customer experience, inventory productivity, risk management, and profitability. 

Final thoughts: Rethink Returns as a growth engine 

Returns are no longer a cost center to be managed. They are a commerce opportunity to be optimized. Those who treat returns as part of the broader customer and inventory journey will be better positioned to improve loyalty, reduce costs, increase inventory productivity, and strengthen profitability. 

In modern retail, the return journey can be just as important as the buying journey. Retailers that win the next decade will not be those that process returns fastest, but those that transform returns into a competitive advantage through better customer experiences, smarter inventory decisions, and more intelligent commerce operations.