Two Boxes Raises $3.2 Million to Expand AI-Powered Returns Platform for Retailers and 3PLs
Two Boxes, a provider of AI-driven returns processing technology, has secured $3.2 million in funding to scale its platform. The round, led by Assembly Ventures, includes participation from existing investors Peterson Ventures and Matchstick Ventures.
This capital infusion comes as e-commerce retailers face increasing challenges with returns volumes, fraud, and the costs associated with reverse logistics. Professional drivers involved in last-mile delivery and return pickups often encounter these issues firsthand, as higher return rates lead to more frequent reverse hauls and warehouse-bound freight.
The funding will accelerate development of Two Boxes’ AI product roadmap. Key priorities include enhancing returns intelligence capabilities across retail, direct-to-consumer (DTC), and business-to-business (B2B) segments.
At the core of the platform is an AI-native system that digitizes warehouse workflows from receipt to restock. Designed for brands and third-party logistics providers (3PLs), it integrates automation features such as image classification, anomaly detection, and fraud identification.
These tools enable warehouse associates worldwide to process returns more efficiently. The platform targets specific pain points in e-commerce returns, including fraud detection, defect identification, and margin recovery.
“Returns processing is a critical, often underserved function in modern logistics,” said Bertin in a company news release. The statement highlights the company’s plans to expand beyond DTC markets into broader retail and B2B returns processing.
Sarkar added in a statement, “Retailers must process returns efficiently, reduce fraud, and protect margins simultaneously.” These comments underscore the platform’s focus on balancing speed, security, and profitability in returns handling.
For truck drivers, the implications of improved returns processing extend to operational efficiency. Effective AI tools at warehouses can reduce misrouted returns, minimize unnecessary backhauls, and streamline the integration of returned goods back into inventory. This helps optimize load planning and reduces empty miles on return trips.
Reverse logistics remains a significant cost driver in trucking. Drivers hauling for e-commerce 3PLs frequently manage return loads that require careful documentation and routing to specific facilities. Platforms like Two Boxes aim to standardize these processes through digital workflows, potentially leading to fewer errors in labeling and sorting that cause delays at docks.
The funding round’s structure—led by an existing strategic investor with follow-on commitments from prior backers—signals continued support for Two Boxes amid growing demands on returns management. Retailers are grappling with surging returns volumes and fraud, making scalable AI solutions a priority.
Two Boxes’ technology is built for flexibility, allowing integration into any warehouse operation. Its emphasis on accessible automation means that drivers dropping off return pallets can expect more consistent handling procedures, from initial scanning to quality checks via AI image analysis.
- Funding Details: $3.2 million led by Assembly Ventures, with Peterson Ventures and Matchstick Ventures participating.
- Primary Uses: AI product development, international growth, and expansion into retail, DTC, and B2B returns.
- Core Features: Digitized receipt-to-restock workflows, image classification, anomaly detection, fraud identification.
- Target Challenges: Fraud, defects, margin recovery in e-commerce returns.
In the broader trucking context, advancements in warehouse AI directly impact over-the-road and regional drivers. Quicker restocking of returned items means faster turnaround for outbound loads, helping maintain steady freight volumes. As e-commerce continues to dominate, tools that address returns efficiency support reliable lane opportunities for independent operators.
The company positions its platform as a response to the rising costs of reverse logistics, where drivers play a key role in collection and transport. By automating defect and fraud detection, Two Boxes reduces the manual inspection time that often backs up loading areas and delays departures.
This development follows reports of increasing return rates in e-commerce, driven by factors like customer-friendly policies and opportunistic fraud. For drivers, it means potential shifts in how return freight is prioritized and routed, with AI aiding in decisions that affect load consolidation.
Two Boxes’ expansion plans include international growth, which could open new markets for cross-border trucking services. Professional drivers serving 3PL networks stand to benefit from standardized processes that enhance visibility across global supply chains.
The funding announcement was covered by FreightWaves, with reporting by Noi Mahoney, a journalist focusing on logistics and supply chains. It reflects ongoing investment in technology to manage the complexities of modern returns handling.