Who is building the infrastructure behind recommerce?

Most recommerce discussions focus on marketplaces and 1P platforms. Behind them, a growing group of businesses is building the infrastructure that makes secondhand products easier to source, process, authenticate, price, list, distribute and discover.

A secondhand transaction can involve far more than matching a buyer and seller. Depending on the category and operating model, a product may need to be sourced from its previous owner, inbounded, inspected, repaired or refurbished, authenticated, priced, photographed, catalogued, and distributed across sales channels. Electronics add another layer through diagnostics, grading and secure data erasure.

EIV has mapped this enabling ecosystem into 12 categories, spanning trade-in and buyback, branded recommerce, returns and repair, authentication and buyer protection, listing and pricing software, seller tools, search and device lifecycle infrastructure.

Below, we address how these platforms improve the economics of recommerce and grow the market itself.

Specialized enablers are powering trade-in and buyback infrastructure

Historically, secondhand supply appeared when a consumer decided to create a listing. Trade-in and buyback infrastructure moves that decision closer to the original retail relationship.

Some providers run much of the trade-in process for retailers and manufacturers. Likewize powers device trade-in programmes, from customer valuation and collection through to grading, refurbishment and resale. Phobio provides online and in-store trade-in for retailers, then receives, inspects and remarkets the devices. Assurant combines trade-in software with physical device processing, refurbishment and resale.

Other businesses are more focused on embedding trade-in into the retailer’s own journey. Loopia provides white-label software for quotes, inspection, payments, logistics and resale, while Tern lets brands launch and manage trade-in, buyback and take-back programmes themselves. Croissant takes a different approach by showing customers a future buyback value at the point of purchase, creating a route back into resale from day one.

The important shift is that resale supply no longer has to depend entirely on a consumer remembering to list an item months or years later. The retailer can create a direct route from the original transaction back into the secondary market. For the recommerce ecosystem, that can increase the supply of inventory that becomes available. For the retailer, it creates another customer touchpoint and keeps more of the product lifecycle inside its own ecosystem.

Brands no longer need to build every part of resale themselves

A branded resale proposition requires more than adding a secondhand section to an ecommerce website. The brand needs a way to acquire supply, assess and price products, create listings, manage transactions and, depending on the model, receive, store and fulfil inventory.

A growing group of businesses now provides this infrastructure. Archive combines branded resale technology with trade-in, reverse logistics and operational support, covering activities from intake and grading through to warehousing and fulfilment. Treet lets brands launch branded resale marketplaces, including peer-to-peer models where customers can buy and sell for cash or brand credit. Reflaunt gives luxury brands and retailers modular resale technology and access to third-party resale channels. Faume goes further across the workflow, combining a branded storefront with buyback, pricing, cataloguing, warehouse software and distribution to external marketplaces.

These platforms illustrate how the boundary between trade-in and resale is already blurring. The same provider can help a brand bring a used product back, process it and create the channel through which it is sold again.

More inventory only matters if it can be processed economically

Once a product comes back, resale is not always the next step. It may be ready to return to stock, need a repair, belong in a different sales channel or have too little value left to justify further work. Sending every item through the same process can destroy the margin a reseller is trying to recover.

Optoro helps retailers process returns and decide the best route for each item, whether that means restocking it, sending it for repair, reselling it, liquidating it or donating it. ReverseLogix provides returns-management software that coordinates the workflow from customer return through warehouse processing, repair, refurbishment and eventual resale. Renow takes a more managed approach, taking returned inventory from merchants and handling the resale itself through a distributed network of warehouses and secondary-market channels.

Repair providers solve the next problem. Revers.io coordinates after-sales, repair and second-life workflows across customers, stores, carriers and repairers. Save Your Wardrobe provides repair and care infrastructure for fashion brands, while Tingit manages intake, logistics, repair and quality control for apparel, footwear, bags and accessories.

The value of these businesses is not simply operational convenience. They can change the recovery economics of an item. A product that would otherwise be written down or liquidated may become saleable after the right repair or routing decision. The more accurately and cheaply that decision can be made, the larger the pool of inventory that is economically viable for recommerce.

AI can add more supply by making inventory easier to list

New-product retail can reuse catalogue information across many identical units. A secondhand seller, may need to identify the item, assess condition, photograph it, create attributes and descriptions, decide on a price and then publish it across several channels.

AI-native startups are emerging who make listing and cataloguing software to reduce that workload. HAMMOQ turns product images into marketplace-ready titles, descriptions and attributes for high-volume sellers. Minimist is aimed at secondhand shops and charity retailers, allowing a seller to photograph an item and create a publish-ready listing alongside pricing and image tools. SellRaze identifies products from an image, text or barcode, then combines listing creation with pricing and multi-marketplace distribution. While VNYX extends automation into the physical workflow, grading, sorting, cleaning, photographing and listing fashion inventory.

Pricing is becoming a specialist software and data layer as well. TRUSS provides automated valuations for secondhand fashion, using sold transaction data to price individual items or large batches of inventory. WorthPoint takes a similar data-led approach in antiques and collectibles, giving dealers and resellers access to a database of historical realised prices. At the individual reseller level, Underpriced AI identifies an item from a photograph and searches recent sold listings to suggest what it is worth.

Professional sellers then face a distribution problem: the same item may need to be managed across several marketplaces at once. Vendoo lets sellers create or import listings, publish them across multiple marketplaces and manage inventory from one place, including removing an item elsewhere once it sells. Flyp combines cross-listing with inventory synchronisation, AI-assisted listing creation and order management. Crosslist lets sellers create one listing and distribute it across 11+ marketplaces, while PrimeLister links inventory across platforms and automatically delists sold items. List Perfectly acts as a central catalogue for a reseller’s inventory, combining cross-listing with bulk editing, relisting, sales tracking and AI-assisted listing tools. ResaleOS goes further towards a full operating system for resale and consignment businesses, combining listing and pricing, marketplace distribution, inventory management, point of sale, payments and vendor payouts.

The common denominator is labour per item. If identification, pricing, listing and channel management require less manual work, more products become economically worthwhile to sell and each operator can process more inventory with the same headcount.

We also think this is one of the parts of the landscape where category boundaries are most likely to disappear. Cross-listing tools are adding AI-generated listings and pricing, while broader reseller platforms are moving into payments, point of sale and vendor management.

Building the trust layer for the secondary market

Authentication businesses address the question: is this item genuine? Entrupy uses AI to authenticate products for resellers, marketplaces and retailers. CheckCheck uses two independent expert reviewers for categories including sneakers, handbags and apparel. Real Authentication provides expert luxury authentication from uploaded images. Digital identity providers approach the same problem earlier in the product lifecycle. Arianee, EON and Vaultik can give an item a persistent digital identity that links the physical product to information about its origin, ownership or history. 

Transaction trust is addressed by companies like Trustap, which protects marketplace payments by holding funds until the transaction is confirmed, while Besedo helps marketplaces moderate listings and user behaviour to detect spam, fraud and abuse.

AI improves discovery and matching

The buyer wants one place to search inventory that is spread across many resale sites. Phia compares products and prices across retail and resale destinations. Beni can use a photo or screenshot to find similar secondhand products across multiple resale sites. Faircado aggregates secondhand offers and surfaces used alternatives while a consumer shops online. Encore uses conversational search across a broad set of resale platforms.

Albatross takes a different route by selling search and discovery technology to marketplaces themselves, helping platforms such as Wallapop and OfferUp improve ranking and natural-language discovery within their own inventory.

Electronics shows how deep the infrastructure stack can become

Electronics has developed the deepest specialist infrastructure in our landscape because the product itself creates additional requirements. A used phone or laptop may need to be tested, graded, checked for locks or replacement parts, securely wiped and sometimes repaired before it can be sold with confidence.

Phonecheck automates device diagnostics and certification. Blancco focuses on diagnostics and certified data erasure, while Piceasoft provides device testing, condition records and data wiping for recyclers and trade-in operators.

Other businesses take responsibility for more of the physical workflow. Reconext tests, grades, repairs and refurbishes returned electronics. Dipli connects trade-in, returns, refurbishment and second-life distribution, while Firstbase manages corporate IT hardware through retrieval, redeployment and retirement.

We think electronics is a useful example of what happens when a recommerce vertical becomes large and operationally complex. Specialist infrastructure emerges around the steps that are difficult for every marketplace, retailer or reseller to build independently.

This also explains why the opportunity will not look identical across categories. Fashion may create more demand for cataloguing, pricing and seller tools. Electronics supports diagnostics, erasure and refurbishment. Luxury creates deeper authentication requirements. The infrastructure layer will therefore remain partly horizontal and partly vertical.

Where do we expect value to accrue?

The existence of a large enablement landscape does not mean every point solution will become a large standalone business. The key question is whether the provider becomes important to the marketplace or platforms' economics.

For software businesses, we would look for repeat usage, deep workflow integration and proprietary data that improves the product as transaction volume grows. Pricing intelligence becomes more useful with better comparable-sales data. Authentication improves with a larger reference set. Seller software becomes harder to replace when it manages the system of record for inventory and orders.

For managed services, we would focus more heavily on unit economics: recovery value, labour productivity, throughput, capacity utilisation and the capital required to support growth. A provider that increases the resale value of an item but consumes most of that improvement in processing cost has created less economic value than the headline recovery rate suggests.

AI should improve both sides of this equation. It can reduce the cost of identification, listing, pricing, support and parts of authentication or processing. It can also expand the market by making more inventory economical to list and improving how that inventory is matched with buyers.

We therefore think the strongest recommerce enablers will do more than automate an isolated task. They will either control an important workflow, build data that becomes more valuable with scale, or demonstrably improve the economics of getting a secondhand product from one owner to the next.

As recommerce becomes larger and more professionalised, the infrastructure underneath it will become an important part of overall value created.

EIV is very active in the funding and sale of recommerce marketplaces and platforms. If you own one or are building one, we would love to hear from you.

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