Convenient returns as a competitive advantage in e-commerce. How to automate them?

Why have convenient returns become a key element of e-commerce strategy?

The scale of the challenge currently facing large enterprises is unprecedented. The average return rate in e-commerce is typically much higher than in traditional retail—many reports indicate that approximately 30% of online orders are returned, while for in-store purchases this rate is only around 9%. This disparity stems from changing customer behaviors, for whom returns have become a natural element of the shopping process rather than an anomaly.

Particular dynamics are visible in younger demographic groups. The number of consumers declaring that they return products at least once a month is significantly higher among Generation Z and millennials than among older customer groups. These customers treat the ability to easily return items as standard and a kind of purchase “insurance,” forcing companies to redefine their approach to after-sales service. A convenient returns process builds trust, which directly translates into CLV (Customer Lifetime Value) metrics and determines whether a customer will even decide to complete their cart.

What are the costs and challenges associated with the returns process in large companies?

At Enterprise scale, returns handling costs extend far beyond the return shipping fee. The main burden is the operational involvement of multiple departments: from customer service accepting requests, through logistics, to the warehouse conducting quality assessment and re-accepting goods. In a manual model, this generates enormous labor hour costs that grow exponentially during sales peaks. Each “touch” of a package by an employee represents a cost that, multiplied by thousands of returns, drastically reduces margins.

A critical aspect is also the impact of returns on cash flow and inventory management. Goods in return transit represent so-called “frozen cash”—locked capital. The longer the logistics process takes, the longer the product remains excluded from sales, losing value (especially in the fashion and electronics sectors). At large operational scales, lack of consistent procedures leads to inventory chaos and discrepancies in stock levels, making sales planning and restocking difficult. ERP systems often don’t “see” goods that are physically already on the dock but waiting for manual processing.

How do convenient returns impact competitive advantage?

The quality of the returns process has a direct impact on a company’s future revenues. Market data leaves no illusions: as many as 84% of respondents in a study conducted by a company from Wilkes-Barre indicated that a “positive return experience” increases their likelihood of repeat purchases from the same store. Simplified return policies thus act as a powerful retention tool, lowering the barrier to entry for subsequent transactions. Customers who know the return process is painless are more willing to experiment with new products and brands.

On the other hand, the consequences of neglecting this area are severe and immediate. Approximately 71% of consumers claim they are less likely to make repeat purchases from a seller after a poor return experience. Moreover, this effect is amplified by the social recommendation mechanism—four out of five dissatisfied customers declare they will share their negative experience with family and friends. Convenient returns are therefore not just a convenience but a key element of protecting brand image and preventing customer loss to competitors.

Elements of an ideal returns process in e-commerce from an Enterprise perspective

For the returns process in a large organization to work smoothly, it must be based on full digitalization and paper elimination. The ideal ecosystem begins with a clear request path in the customer panel, where users can independently generate a QR code or label without contacting customer service (self-service). Deep integration of ERP, WMS, OMS systems, and marketplace platforms is crucial here. Return approval in the system should automatically trigger a cascade of processes: from ordering transport, through delivery notification at the warehouse, to preparing corrective documents.

Real-time communication informing the customer about each stage of their package’s journey and refund status is also essential. Process transparency drastically reduces the number of customer service inquiries like “Where is my money?”

Most common mistakes in returns handling and their business consequences

The biggest mistake large companies make is persisting with manual processes that, at the current scale of returns, become inefficient and risky. Manual verification of requests, retyping data from emails, or lack of a unified system for multiple markets lead to delays and human errors. Companies also often fail to optimize logistics costs, using rigid courier contracts instead of dynamic carrier selection. This results in overpaying for local returns or problems with cross-border returns handling.

Furthermore, lack of analytics on return reasons prevents drawing business conclusions, causing the company to continue selling products with defects or poor descriptions, falling into a vicious cycle of costs.

Returns automation: what processes can be improved in large companies?

Automation in the Enterprise model primarily includes intelligent logistics routing—automatic selection of the cheapest or fastest carrier depending on package parameters and location. Systems should also automatically generate all documents (labels, customs documents for non-EU markets) and manage customer communication through a sequence of status notifications.

A significant improvement is also back-office process automation: inventory updates should occur immediately after scanning received goods, and financial systems should automatically order refunds, relieving the accounting department and building customer trust in the brand.

Technologies and tools for returns automation in the Enterprise model

Modern returns ecosystems are built on RMA (Return Merchandise Authorization) systems integrated with Multi-Carrier logistics platforms and ERP/WMS systems. Machine Learning technology is increasingly used to predict return volumes and detect abuse (e.g., wardrobing). However, the key is data centralization, which allows process management across multiple countries and sales channels from a single tool. Through APIs, logistics platforms become the “brain of operations,” connecting sales, logistics, and finance into one cohesive organism.

The role of the Alsendo platform and Innoship Returns Module in process optimization

Returns have become one of the most underestimated sources of advantage in commerce. It’s precisely in them—at the intersection of logistics, data, and customer experience—that you can see how an organization truly operates. The Innoship Returns Module from Alsendo helps large companies transform daily operational challenges into a cohesive system that simplifies processes, delivers crucial data, and strengthens customer loyalty.

Innoship Returns Module functionalities that build Enterprise advantage:

• Automation and smart routing: the system automatically handles every stage—from request to settlement. An intelligent algorithm selects the optimal carrier depending on country, weight, or product type, reducing costs and eliminating manual errors.
• Consistent branding (branded portal): customers make returns in a portal that looks and communicates just like your store. This allows the process to take place in a trusted environment, increasing the chance of repeat purchase.
• Data-driven decisions: the module generates advanced reports on return reasons, processing time, and carrier effectiveness. This allows quick pattern detection (e.g., incorrect size chart) and proactive offer optimization.
• Global control: the system enables handling of multiple and partial returns within one order and process management from different markets in one panel. This is the full flexibility necessary for internationally operating companies.

The Innoship Returns Module is a strategic tool that allows you to use automation to build a culture of transparency and faster decision-making throughout the organization.

So how to handle returns?

Treating returns as a necessary evil is a strategy of the past. In the face of growing consumer requirements and cost pressure, optimizing this process is key to profitability. To effectively implement changes in a large organization, it’s worth taking the following steps:

1. Centralize processes: abandon scattered tools and spreadsheets in favor of one platform integrating all carriers and markets.
2. Automate decisions: use algorithms to select the best logistics options and automate customer communication.
3. Choose a proven partner: opt for Enterprise-class solutions like Alsendo Innoship, which guarantee stability, data security, and real cost optimization, transforming a logistics challenge into a competitive advantage.

Sources

1. https://www.firstanalysis.com/research/e-commerce-jul-2025/
2. https://www.dhl.com/global-en/microsites/ec/ecommerce-insights/insights/e-commerce-logistics/2025-returns-trends.html
3. https://nrf.com/media-center/press-releases/consumers-expected-to-return-nearly-850-billion-in-merchandise-in-2025
4. https://www.thescxchange.com/articles/3625-survey-returns-experience-critical-to-customer-satisfaction

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