How freight forwarders profit from managing and liquidating excess stock
Manufacturers, retailers, and e-commerce companies are under growing pressure to free up warehouse space and unlock working capital tied up in excess or obsolete inventory. This pressure is creating a new business opportunity for freight forwarders: turning surplus-inventory management into a scalable, data-driven revenue model.
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From transport provider to surplus-management partner
Instead of remaining purely transport service providers, modern freight forwarding companies are taking over end-to-end surplus-inventory management for their clients—from identifying slow-moving goods, through warehouse-space optimization, to liquidation via B2B channels, e-commerce, and secondary markets.
Until recently, manufacturers and retailers handled inventory liquidation internally. Today, rising storage costs and losses caused by poor inventory governance are pushing them toward specialized partners.
Over time, inventory liquidation has evolved from a reactive, crisis-management tactic into a proactive, data-driven strategy. The COVID-19 period accelerated this shift by exposing the need for more resilient and flexible supply chains.
Monetizing surplus inventory management
Modern freight forwarding companies build revenue from surplus management on multiple levels.
1) Warehouse space and handling fees
Operators can designate dedicated warehouse zones with specific pricing models (e.g., lower rates per square meter in exchange for flexible storage periods). Additional revenue comes from consolidation, palletization, and preparation of liquidation shipments for B2B buyers.
2) Fees for analytics and inventory-management services
A subscription model for integrated WMS/TMS access with inventory monitoring creates predictable recurring income. Clients also pay for predictive reports identifying slow-moving stock and recommending optimal liquidation strategies.
Another monetizable service is implementation and maintenance of API integrations with the client’s ERP system—improving operational alignment and strengthening long-term partnerships.
3) Commissions on sales through secondary markets
A revenue-share model on B2B sales platforms aligns incentives and turns the freight forwarder into a partner focused on maximizing recovery value.
Brokerage with specialized buyers, auction management, and end-to-end liquidation services (valuation, sales execution, last-mile logistics) extend the offer far beyond classic transport coordination.
4) Dedicated transport for liquidation shipments
Dedicated FTL/LTL transport for clearance pallets, route optimization, load consolidation, and cross-docking from manufacturer warehouse to secondary buyers are high-margin specialization areas.
5) Fulfillment services for clearance channels
Clearance support increasingly includes picking/packing, outbound shipping, returns intake and grading, and resale support for second-cycle products—raising client lifetime value and increasing entry barriers for competitors.
Technologies that increase profitability
Freight forwarders increasingly invest in integrated WMS + TMS ecosystems. Native cloud architecture and microservices make network scaling and client-system integration faster and more reliable.
- Blue Yonder: AI-powered demand forecasting and dynamic multi-location inventory allocation.
- Manhattan Associates: inventory optimization with real-time visibility across stores and distribution centers.
- Supply chain control towers: one operational view across shipments, pallets, TMS, WMS, and carrier platforms.
For surplus-inventory operations, control-tower and analytics capabilities enable:
- automatic detection of goods exceeding target turnover times,
- alerts for value-loss risk (expiry dates, seasonality),
- recommendations for reallocation or routing into liquidation channels.
AI and predictive analytics remain the strongest value drivers: they forecast demand, support autonomous liquidation/repositioning decisions, and can reduce stockouts by up to 30% and overstock by up to 25%.
Dynamic pricing engines further improve outcomes by adjusting discounts in real time based on inventory levels, demand shifts, and competitive pressure—maximizing recovery value while shortening liquidation cycles.
IoT infrastructure (RFID, barcode scanners, GPS trackers) adds real-time location and condition visibility, enabling automated stocktaking, smart shelf alerts, and condition monitoring (temperature/humidity) for sensitive products.
Organizing multi-channel liquidation
Logistics operators’ effectiveness increasingly depends on integration with major B2B liquidation platforms and marketplace channels.
B-Stock offers a large-scale B2B marketplace for returns and surplus liquidation. For freight forwarders, this supports listing client pallets directly from warehouse inventory, collecting intermediation commissions, and monetizing outbound shipping after auction close.
Stocklear provides a Europe-focused surplus marketplace and opens positioning opportunities for operators serving the CEE region, often underserved by larger Western players.
In parallel, e-commerce clearance channels are expanding. Operators offering fulfillment can manage the full workflow: storage, order picking, shipping, returns handling, and marketplace integration (e.g., Amazon, Allegro).
A high-performing tactic is product bundling: combining low-rotation items with high-demand products to increase perceived value and accelerate sell-through.
Specialized liquidation shipping requires dedicated execution:
- FTL and LTL transport of liquidation pallets to B2B buyers,
- consolidation of small lots into full truckloads,
- cross-docking from production directly to secondary channels.
For extra-European destinations, customs and compliance specialization becomes a key margin driver. In volatile spot scenarios, automated carrier-selection platforms (such as Trans.eu) help preserve profitability by reducing manual workload and improving execution speed.
Examples of intelligent warehouse utilization
Amazon uses AI forecasting and reports a 20% increase in inventory turnover (vs. 12% industry average), alongside a 10% reduction in holding costs. AI-driven inventory placement also supports faster delivery performance.
Walmart uses AI to process real-time sales data, customer trends, and seasonality; replenishment orders are generated automatically, and surplus can be redirected to stores with stronger demand before value erosion occurs.
Target introduced an internal AI-supported inventory system in 2023; today it applies AI-driven inventory management to more than 40% of assortment—more than double the level from two years earlier.
Benefits are also visible beyond large enterprises. A mid-sized apparel retail network achieved:
- 25% reduction in stockouts,
- 15% improvement in inventory turnover,
- 35% increase in forecasting accuracy.
Why now?
- Shippers lose a meaningful share of yearly profit due to warehousing inefficiencies and surplus-related costs.
- AI, IoT, and cloud-native WMS platforms have made inventory management scalable and automatable.
- Leading European logistics players already monetize VMI, inventory health management, and reverse-logistics services.
Summary
Freight forwarders and 3PL operators are entering a phase of digital transformation that changes the core of their business. Surplus-inventory management is no longer only a shipper-side problem—it is a strategic growth area for transport companies aiming to diversify revenue and protect margins. To enter this space effectively, operators need technology infrastructure, analytics talent, integration capabilities with liquidation platforms, and a hybrid business model combining subscriptions with performance-based fees.
Sources
- Altavant Consulting, 7 Hidden Inventory Costs Draining Your Retail Profits in 2025 (accessed: 19.11.2025 https://altavantconsulting.com/hidden-inventory-costs-retail-2025/)
- MarketsandMarkets, Retail Platform Market, 2025 (accessed: 19.11.2025 https://www.marketsandmarkets.com/Market-Reports/retail-platform-market-123820655.html)
- SuperAGI, Case studies in AI inventory forecasting: success stories and lessons from top retailers and ecommerce brands in 2025 (accessed: 19.11.2025 https://superagi.com/case-studies-in-ai-inventory-forecasting-success-stories-and-lessons-from-top-retailers-and-ecommerce-brands-in-2025/)
- Kapadia, S., To avoid product shortages, big retailers are scrapping reactive methods for AI, Business Insider, 2025 (accessed: 19.11.2025 https://www.businessinsider.com/walmart-target-use-ai-to-prevent-inventory-shortages-2025-6?IR=T)
- Tang, D., Digitization of inventory management in retail apparel (accessed: 19.11.2025 https://flevy.com/topic/digital-transformation/case-digitization-of-inventory-management-retail-apparel)