Because nobody has the energy to sell it or the space to store it. We remove that friction. Suppliers list in seconds, serious buyers are already watching.
Every week, moving companies across Sweden throw away perfectly good furniture. Customers do not want it, movers cannot store it, and nobody has the time to list it on Blocket or drive it to a second-hand shop. So it goes to the recycling station or straight to incineration.
Tonnes Across Europe
Furniture discarded across the EU each year
Customers Have Items
Moving customers with furniture they want gone
How perfectly good furniture ends up in landfill. Three steps.
Customer decides to move
Furniture doesn't fit the new place, or they're downsizing. Good items with years of life left.
No easy way to sell
Listing on Blocket takes hours. Charity shops cherry-pick. Moving companies can't store anything.
Straight to the skip
Move day arrives and the furniture goes to the recycling station. Or worse, incineration. 400 kr per trip, per item.
Market Validation
This is not a niche. The second-hand furniture market in Europe is worth tens of billions and growing faster than new furniture. The biggest players are piling in. The question is not whether this market exists. It is who connects supply to demand first.
European Market
Second-hand furniture market size in 2024. Projected to hit €72B by 2033.
Annual Growth
Growing faster than the new furniture market. And accelerating.
Sweden Alone
Sweden's total second-hand market, growing 1.5 billion kr every year.
Three signals that this space is about to take off.
IKEA launches Preowned in Sweden
The largest furniture company in the world just entered the second-hand market. They sold 7 million used items in 2024 and are scaling fast. If IKEA sees the opportunity, it is real.
Swedes buying second-hand has doubled
From 28% in 2018 to 75% in 2023. The cultural shift is already here. 70% of those purchases happen online.
Retailers cannot find enough stock
Demand is outpacing supply. Quality inventory is the bottleneck. Charity shops report 80% of donations are unsellable. Good furniture is being destroyed while retailers hunt for it.
The analogy
Too Good To Go rescues surplus food from restaurants before it gets thrown away. Last Chance rescues surplus furniture from moving companies before it hits the skip. Same model. Different industry. Same massive waste problem waiting to be solved.
A marketplace that connects two sides of a broken chain. Moving companies see reusable furniture on every job. Second-hand retailers need stock every day. We sit in the middle. No new infrastructure. No warehouses. Just a smarter connection point.
See reusable furniture on every single job. Right now, it all goes in the skip because there's no quick way to sell it. They'd love another option.
Connects the two sides with AI-powered listings, automated pricing, and professional buyer matching. The booking stage captures furniture before it's lost.
Constantly hunting for stock. Currently trawling Facebook Marketplace, attending house clearances, driving around. They need a reliable, steady supply line.
The moving companies are the entry point. When a customer books a move weeks in advance, the booking team asks what furniture they will not be taking. Photos go up, AI creates the listing, and the customer's house becomes the warehouse. Zero storage costs, maximum exposure time before move day arrives.
This is not a theoretical workflow. Moving companies already have this conversation with customers. The only difference is that now there is somewhere for those unwanted items to go. A marketplace where professional buyers are actively watching and waiting.
More moving companies listing → more inventory → more buyers browsing → faster sales → more moving companies wanting in. Every transaction reinforces the loop. The chicken-and-egg problem is solved by signing up buyers first. When the first moving company lists, someone is already watching.
From booking to payment in 9 steps. Swipe through to see exactly who does what.
When a customer books a move weeks or months in advance, the booking team asks what they will not be taking. The customer sends photos of unwanted items via WhatsApp or email. It fits naturally into the conversation that is already happening.
Photos are uploaded to the platform. Within seconds, the image recognition engine identifies each item, assesses condition, flags items that need close-ups, pulls comparable recent sale prices, and sets a minimum bid. The booking team barely types a word.
The listing goes live with all photos, an AI-generated description, condition report, comparable prices, minimum bid, move date countdown, and collection availability. The furniture stays in the customer's home. No storage needed.
The furniture does not go anywhere. It remains in the customer's home from listing to collection. Because moves are booked weeks or months ahead, every listing gets a long window of exposure. Not hours, but potentially weeks.
Second-hand shops, auction houses, and resellers browse listings filtered by distance, type, and price. They set standing preferences and receive a daily digest of relevant items. Every listing includes a Buy Now price set at 50% above the starting bid. Buyers who want certainty can skip the bidding and purchase instantly.
No bids 3 days before the move? Minimum price drops 20%. 2 days out? Down 30%. Final day? 40% off. The discount only applies to zero-bid items. Active bids stay at market price. The Buy Now price drops in step, making the instant purchase increasingly attractive as the deadline approaches.
The winning bidder pays a 100 kr deposit to confirm. The customer's contact details are released and collection is arranged directly between buyer and customer.
The buyer pays the winning bid, nothing more. Last Chance takes a 25% commission from the sale price. The customer receives 50 to 150 kr off their moving bill per item sold. The moving company gets the remainder.
If an item does not sell by move day, even after the discount ladder, it gets disposed of exactly as it would have been. Nobody loses anything. This furniture was heading to disposal regardless. Anything that sold is pure upside.
A three-sided marketplace only works when every party gets clear value from day one. Here is what each side gains, and why they stay.
One sold item saves more than the 400 kr recycling station trip would have cost.
Every item sold is revenue that didn't exist before and disposal cost that disappears.
No cost until they buy. A daily feed of pre-screened, priced inventory.
The magic is that nobody needs convincing. Customers want less to move. Movers want less to dump. Retailers want more to sell. The platform just connects what already exists.
One clear revenue stream. No subscription fees, no listing fees, no hidden costs. The platform earns a 25% commission only when furniture sells. If nothing sells, nobody pays anything.
For context, a single trip to the recycling station costs around 400 kr. One sold item more than covers that. The buyer gets a display cabinet for 900 kr with no fees on top. Every sale is pure upside.
Starting from a 1,000 kr item with zero bids. Active bids stay at market price.
Every technical capability uses existing, production-grade APIs. No custom machine learning model is needed for launch. The hard problems are already solved. We are integrating, not inventing.
Identifies furniture type, material, colour, and style from customer photos
Handles multiple angles, varying lighting, and cluttered backgrounds. Distinguishes between similar items (dining chair vs. office chair) and identifies materials (solid wood vs. veneer) with high confidence.
Claude Vision / GPT-4 VisionAssesses wear, damage, and cleanliness to generate a buyer-ready condition report
Scores items on a clear scale from 'Like New' to 'Needs Work'. Flags scratches, stains, structural damage, and missing parts. Asks for close-up photos when it spots something that needs a second look.
Claude Vision / GPT-4 VisionPulls comparable sold prices to set an accurate starting bid automatically
Cross-references recent completed sales of similar items to set a fair starting bid. Accounts for condition, age, brand, and local market trends. No manual research needed. The price is data-driven from the start.
eBay Completed Listings APICreates a complete listing with title, description, and condition summary in seconds
Writes natural-language descriptions that highlight selling points. Generates SEO-friendly titles, key specifications, dimensions (when visible), and a one-line condition summary. Ready to publish without editing.
Claude / GPT-4Furniture identification is a solved problem for modern vision models. Pricing data is publicly available through completed auction APIs. Listing copy is exactly what large language models excel at. Last Chance does not need to train a model. It needs to orchestrate four API calls in the right sequence. That is an engineering task, not a research project.
Last Chance does not bolt on sustainability as a marketing badge. Every single transaction is an act of waste diversion. Every sofa that finds a second home is one less item in a skip. The environmental case is not separate from the business case. It is the business case.
Tonnes Discarded
Furniture thrown away across Europe each year
Source: EEB / Eunomia
Landfilled or Burned
The global fate of discarded furniture
Source: EEB
This is not a problem confined to one country. From the United States to the European Union and beyond, the overwhelming majority of discarded furniture ends up in landfill or incineration. Even when it is structurally sound. The infrastructure to redistribute it simply has not existed at scale.
Last Chance intercepts furniture at the exact decision point: the moment someone books a move and realises they cannot take everything with them. That is the window. Before the skip is ordered. Before the item is lost.
Every reused sofa avoids ~47 kg of CO₂ from manufacturing a replacement. Scale that across thousands of items and the impact compounds fast.
Money stays in the community. Retailers get affordable stock, customers save on moves, movers earn new revenue. Everyone wins locally.
Furniture is bulky. It takes up disproportionate landfill space. Diverting even a fraction frees significant capacity.
If Last Chance intercepts just 1% of Sweden’s furniture waste, that is 2,000+ tonnes diverted from landfill every single year.
And Sweden is just the starting point. The same model works in every country where people move house and throw away furniture. Which is everywhere.
Four phases from manual proof-of-concept to a nationwide platform. Each phase validates the previous one before moving forward. No leap of faith required.
Platform first, then the demand side
Activate the supply side
Open supply to new industries
Own the last mile, set the standard
A platform where every moving company in Sweden lists furniture as part of their standard booking process. Where second-hand retailers check their feed every morning like they check email. Where the default for good furniture is a second owner, not a landfill.