Partnerships open · Brands writing the next decade of commerce →

Turn circularity into commercial intelligence.

Beyond Buy is the post-purchase data layer for fashion brands. Every SKU gets a living fingerprint — cost-per-wear, resale velocity, donation rate, carbon saved — so sustainability, merchandising and digital teams finally read from the same page.

SKU-level fingerprint methodology
Brand-side + consumer-side signals
Operated by Share At Door Step (est. 2014)
Brand Circularity Index · Live
Q2 · 2026
68.4
+12.6 vs Q1
Composite of resale, donation, hoard and landfill flows across the brand's top 250 SKUs.
3.2MItems tracked
41%Diversion rate
11.4ktCO₂e saved
Built for Europe's most ambitious fashion brands
Fast fashionPremium high-streetDigitally native verticalsHeritage labelsMarketplacesResale natives Fast fashionPremium high-streetDigitally native verticalsHeritage labelsMarketplacesResale natives
The platform

One data layer for every SKU you've ever sold.

From the resale listing to the donation bag, every life-stage of every item becomes a row in your dashboard.

01 — Measure

SKU Fingerprint

Cost-per-wear, wear count, resale velocity, donation rate, hoard rate, optimal exit timing, carbon saved. Every SKU becomes a living record, not a spreadsheet row.

Avg fingerprint
28×
resale listings per hero SKU
02 — Predict

Cluster Intelligence

Data on a handful of hero SKUs predicts performance for thousands of similar items - same category, same price band, same silhouette. Coverage scales without scraping every product.

Prediction lift
72.1k
hero SKUs to similar-SKU coverage
03 — Activate

Take-Back Programs

Beyond Buy doesn't just measure circularity - it runs the operations that move the numbers. Branded take-back, donation logistics, resale routing, and carbon-saved reporting under your label.

Activation lift
+41%
items diverted from landfill
Methodology

A circularity intelligence engine, not another reporting tool.

Beyond Buy's models combine real-world resale signals, donation flows, customer wardrobe behaviour, and item-level imagery into one AI-trained data layer. The result is a SKU fingerprint that survives an audit and informs a buying decision.

Every number is tagged: verified, industry-baseline, or pilot-unlock. The methodology is published. There are no black boxes and no untagged claims — which is what makes the data defensible inside your ESG reports and your boardroom.

Resale signal ingestion Image-based SKU matching Donation-flow telemetry Wardrobe behaviour models Cluster prediction Carbon attribution
Resale listings Cross-marketplace Donation flows SADS pickup network Wardrobe behaviour StyleMe + Style DNA Item imagery Vision + classification Returns & refund logs Brand-side (pilot) Climate & geography Postcode-level signals Beyond Buy AI Engine Cluster + carbon + signal SKU Fingerprint COST PER WEAR £0.84 RESALE VELOCITY 2.4× DONATION RATE 17% CO₂e SAVED 4.6kg Six data streams → one defensible fingerprint per item.
Why now

Every item goes on a journey brands never see.

Every future purchase is decided somewhere in the loop after checkout — used, stored, ignored, replaced, let go, re-engaged. Brands have never had a window into it.

The brands that learn to read this loop first will design better, price better, and engage customers at the right moment — not the assumed one.

The real prize is post-purchase intelligence — better merch, fewer returns, higher AOV. Sustainability is the side effect.

Beyond Buy combines resale data across marketplaces, proprietary donation-flow data from Share At Door Step's pickup network, and customer wardrobe data from our consumer apps — into a single SKU-level fingerprint.

Where a typical brand's SKUs go after purchase

What happens after checkout

Resold
22%
Donated
14%
Hoarded
23%
Landfill
41%
Without this layer you see purchases. With it you see the full life of every product you've ever made.
The numbers we're proud of

Pilots that pay for themselves by week six.

3.2M

Items in the index

Scraped, classified, and matched across European resale and donation flows - plus 12 years of Share At Door Step pickup data.

41%

Average diversion lift

Take-back program brands move 41% more items out of landfill within four months. Resale velocity ticks up, donation routes get cleaner, hoard rate drops.

28×

Coverage multiplier

Every hero SKU we fingerprint predicts performance for ~28 similar SKUs in the same cluster. Coverage scales without scraping every product in the catalogue.

Dashboard v2

Every SKU, fingerprinted.

A preview of what landed in our v2 release. Below, an anonymised hero SKU from a European premium denim brand.

High-rise relaxed denim · Bottle

Cluster · Mid-price denim · 36–42 EU · Premium high-street

Verified · Tier 1
Baseline · Tier 2
Pilot unlock · Tier 3
Cost per wear
£0.84
across est. 84 wears
Resale velocity
2.4×
vs cluster median
Donation rate
17%
via SADS network
Carbon saved
4.6kg
CO₂e per item · second-life
Item end-of-life · 12-month flow
Verified from public resale listings and SADS pickup data
Resold Hoarded Landfill
Geographic personality
Where this SKU ends up most often
38% Berlin / DE Berlin · 38% London · 26% Paris · 18% Other · 18%
Solutions

Don't just measure circularity. Move the numbers.

Beyond Buy operates the programs that change what the dashboard shows. Take-back, branded resale, donation logistics — all powered by our SKU data, all reporting back into the same fingerprint.

SOLUTION · 01

Branded Take-Back

Customers ship pre-loved items back through your label. We handle the reverse logistics, sorting, condition grading and routing — resale, donation or recycling — and surface every step in your dashboard.

+41%
items diverted from landfill
by program month 4
SOLUTION · 02

Donation Logistics

Twelve years of Share At Door Step pickup infrastructure across India, Singapore and the UK. Donate-by-app, doorstep collection, NGO routing, GDPR-aware reporting. Your circularity claims now have receipts.

3.2M
items routed through SADS
to verified NGO partners
SOLUTION · 03

Resale Routing

We plug returned items into the right resale channel — your branded resale or partner marketplaces — based on item value, condition and customer geography. Maximum recovery, minimum admin.

2.4×
resale velocity vs
standard cluster median
SOLUTION · 04

Predictive Re-engagement

When an item is at end-of-life in a customer's wardrobe, Beyond Buy knows. That's the moment to re-engage — with a take-back nudge, a replacement recommendation, or a category they're about to need next.

3×
stronger intent signal than
standard post-purchase email
Who we serve

The brands writing the next decade of circular fashion.

Fast fashion
+41%
items diverted from landfill
Replace landfill with branded take-back — at speed.

High-volume retailers move millions of items per quarter. Beyond Buy fingerprints the hero SKUs first, then scales the take-back program across the catalogue.

Talk to us →
Premium high-street
2.4×
resale velocity vs cluster median
Resale velocity becomes a merchandising signal.

For premium high-street brands, resale data tells you which silhouette to reprint next season, and which to never reorder. Cluster intelligence makes it scalable.

Talk to us →
Heritage & premium
82%
archive resale value retained
Defend archive value with second-life data.

For brands with long-tail catalogue value, Beyond Buy proves item longevity and authentic resale performance. The data your brand-equity team will quote.

Talk to us →
Our approach

Built like an intelligence firm. Priced like a partner.

01

Data first, compliance second

Brands own their own ESG reporting. We're the data layer underneath — the numbers that make the report defensible, not the report itself.

02

Tiered, sourced, defensible

Every number is tagged: verified, industry-baseline, or pilot-unlock. Methodology is published. No black boxes, no untagged claims.

03

Europe-led, Asia-ready

Pitched Europe-first against the EU ESPR wedge. Backed by twelve years of Share At Door Step donation logistics across India, Singapore and the UK.

04

Pilot-first commercials

30-day no-cost pilot in exchange for a case study. Convert to paid pilot when the data has earned it. The numbers do the closing, not the deck.

Methodology

Built with people who actually move the items. Not just measure them.

Our SKU fingerprint is built on twelve years of real circular-economy logistics — and reviewed by advisors who understand both the data and the operating reality. Advisory bench in formation.

Carbon model
CO₂
Donation > resale > landfill
Circularity science advisor

Reviewing our SKU-level carbon model against leading circular-economy frameworks.

Wardrobe science
6 active · 9 idle
What gets actually worn
Consumer behaviour advisor

Translating wear, hoard and exit patterns into signals brands can act on.

Merch decisions
REPRINT RETIRE
Signals assortment
Fashion data leader

Translating SKU fingerprint outputs into merchandising and assortment decisions.

SADS network
2014 2026 3.2M items
12 years of real flow
Founder · Share At Door Step

12 years of donation-logistics operating data underpinning Beyond Buy's moat.

See what your SKUs already say about you.

Book a 30-minute intro. We'll walk you through a sample fingerprint built on public data from your own catalogue — and what the 30-day pilot would unlock.

Book a pilot intro
Sample pilot outputs · Week 1 → Week 4
Hero SKUs fingerprinted
7–10
Similar SKUs forecasted
~2,100
Cluster confidence
82%
Take-back program scoped
Yes
DPP-ready data fields
38