Buy Online Return In Store (BORIS)

Letting a customer return an item bought online at a physical store instead of mailing it back. A core Store–Online Integration pattern and a Returns Management channel: it converts the return trip into a store visit, with both an upside (basket capture, faster refunds, restocking close to demand) and a downside (congestion, staff load, return-counter shrink/fraud).

Firewall: every claim is what a source reports. See ../../CONTEXT.md Rule 1. The basket-capture upside is contested — the strongest pro-BORIS claims are vendor/anecdotal while the only peer-reviewed source is sceptical.

What sources report

Demand and adoption

62% of consumers are more likely to shop online if they can return an item to a physical shop (Shopify [VENDOR], as-of 2025).
Only 42.1% of US retailers offer BORIS (vs 46.7% international average), rising to 70.5% among US omnichannel retailers (OrderDynamics via Shopify / Coresight, as-of 2025).

Scale

Appriss Retail's 2026 benchmark (2025 data) puts BORIS at $208bn, or 29% of all US returns ($706bn total); buy-in-store-return-in-store is the largest channel at $367bn / 52%, and buy-online-return-online $131bn / 19% (Appriss [VENDOR], as-of 2026-02-24).
An earlier Shopify guide framed BORIS as 50% of online purchase returns in 2023, totalling $123 billion (Shopify, 2025, citing 2023 data).

How big is BORIS as a share of returns? Shopify (citing 2023) says BORIS = 50% of online returns / $123B [Shopify 2025], while Appriss (2025 data) says BORIS = 29% of all returns / $208bn [just-style/Appriss 2026-02-24]. The denominators differ (online-only returns vs all returns), so the two are not directly comparable — both recorded without resolution.

Upside — basket capture (contested)

Shopify and a UK store-manager anecdote in ECR's case studies report customers returning online items in store are more likely to make additional purchases during the visit — but both are directional/anecdotal, with no controlled uplift % (Shopify [VENDOR], 2025; ECR Loss, 2020 — illustrative only).
Adjacent BOPIS context: EasyPost reports 67% of customers make additional purchases during in-store pickup (EasyPost [VENDOR], as-of 2025-04-17) — a related but not identical behaviour.

Does BORIS actually capture incremental sales? Vendor guides and a single UK store-manager anecdote claim near-universal additional purchases [Shopify 2025; ECR Loss 2020] VS the peer-reviewed Emerald/IJPDLM 2025 study (Top-1,000 NA e-retailers, 2013–2019 panel, fixed-effect regressions) finding BORIS gives "negligible direct benefit to website sales and no meaningful impact across performance metrics among pure e-retailers," with only weak, conditional AOV/traffic uplift for bricks-and-clicks retailers that also offer free return shipping [emerald.com 2025, doi:10.1108/IJPDLM-03-2025-0115]. The independent source explicitly tempers the optimistic narrative as anecdotal.

Downside — operations, staff load, and loss

BORIS creates unexpected additional costs: retailers must find physical store space to hold returns and use store staff to process them, struggle to integrate IT systems fast enough, and often don't know their true cost per returned item (ECR Loss [INDEPENDENT], 2020).
ECR's "true cost of a return" model found even a 5% improvement in the rate of returns could deliver ~200 basis points of net-margin improvement (ECR Loss, 2020 — modelled estimate).
Return fraud is material and BORIS-specific: Appriss attributes a $4bn loss to cross-channel fraud from BORIS transactions in 2025, within $100bn (14.2% of returns) of total preventable fraud + abuse (Appriss [VENDOR], as-of 2026-02-24). NRF/Appriss flag that digital growth raises in-store return rates and cross-channel claims/appeasements, with Bracketing (Fashion Returns)|bracketing classified as returns abuse (NRF/Appriss, 2024-01-03). See Returns Fraud.

Apparel / UK-EU signal

ECR Loss reported store returns typically run 8–10% of sales while e-commerce returns run 20–30%, with apparel returns reaching 25% in the UK and as high as 75% in Germany (ECR Loss citing Clear Returns / FT, 2020).

Dependencies

A returned online item re-entering store stock only helps if it is accurately re-admitted to inventory — tying BORIS to Inventory Accuracy (the vault records store-level accuracy at 65–70% vs 99%+ DC). Routing the returned unit (restock locally vs ship back to DC vs liquidate) is a Reverse Logistics decision, where per-parcel reverse cost is widely cited at 2–3× outbound (vendor rule-of-thumb).

Gaps

No clean, primary-sourced incremental-basket / exchange-vs-refund uplift %. The circulating "20–45% make another purchase" figure had no verifiable primary source and was dropped per the firewall; the only attributable signals are the ECR anecdote (illustrative) and the sceptical Emerald econometric finding.
No current (2024–2026) adoption rate — only pre-2022 OrderDynamics-derived figures.
No apparel-isolated UK/EU BORIS data post-2022; no granular per-transaction ops economics (staff-minutes, congestion, restock-vs-ship-back cost split).
Reddit and YouTube gaps this run (reddit-research MCP and Apify transcript actor both unavailable).
Running UNIQLO-Europe gap — no UK/EU fashion-primary worked BORIS deployment with metrics.