On this page
- Variants
- Market scale and adoption
- Conversion and basket uplift
- P&L economics
- Inventory accuracy — the structural bottleneck
- Operational requirements and staff burden
- Customer experience
- Fashion and apparel specifics
- Smart lockers
- Technology stack
- Contradictions
- Key terms
- Frontier concepts (next harvest candidates)
- Benchmarks summary (as-of 2026-06-20)
Click and Collect (BOPIS)
Click and Collect (BOPIS)
Click and collect — also called BOPIS (Buy Online, Pick Up In Store) — is a fulfilment model where customers purchase online and retrieve their order at a physical store, designated curbside bay, or self-service locker rather than receiving home delivery. It is one of the primary expressions of omnichannel retail, bridging ecommerce demand with physical store infrastructure.
Variants
Four primary variants are documented (Shopify Enterprise, 2025–2026; Parcel Pending, date unknown):
| Variant | Mechanics |
|---|---|
| Standard in-store pick-up | Customer enters store and collects from a staffed desk or designated counter. |
| Curbside pick-up | Employee brings order to customer's vehicle in a designated bay; customer notified via app check-in or geo-fence. |
| Smart locker (BOPIL) | Customer scans a QR code or enters a PIN to unlock a specific locker cell — no staff interaction, 24/7 availability. |
| Reserve and collect / ship-to-store | Customer reserves an item (sometimes without full payment) online; order fulfilled from DC to store; customer may try before committing. |
Market scale and adoption
- US click-and-collect retail sales reached $109.36 billion in 2024 (+10.1% YoY) and are projected at $177.9 billion in 2026 (~11.0% of US e-commerce), representing +15.3% YoY growth (as-of January 2026). (eMarketer, January 2026; Capital One Shopping, 2025)
- US BOPIS sales are projected to grow at 13.6% annually 2025–2030, 16.8% faster than overall e-commerce growth. (Capital One Shopping, 2025)
- 77.2% of top-1,000 US retail chains offered BOPIS in 2024, down 1.4% YoY — suggesting a slight contraction from pandemic-era peak rollout (as-of 2024). (Capital One Shopping, 2025)
- 72% of US consumers have used BOPIS, with 52% doing so monthly. Survey methodology not disclosed. (electroiq.com, 2025)
- "Click-and-mortar" shoppers — those who buy online and collect physically — represent nearly 4 in 10 consumers globally. (Global Digital Shopping Index 2024, via Shopify, 2025–2026)
- In-store pickup represented 64.4% of total US click-and-collect buyers in 2024; the remainder used drive-up/curbside or lockers. (Shopify, 2026)
UK click-and-collect market share projected at ~11% of UK online retail sales in 2025, with 50%+ growth 2020–2025; clothing and footwear cited as growth driver. (ResearchAndMarkets/BusinessWire, 2022 — 2022 forecast; no 2024–2025 UK actuals found in free-access sources; treat as directional only.)
Conversion and basket uplift
- 85% of US BOPIS shoppers have made an additional purchase when visiting the store to collect (Capital One Shopping, 2025), versus 44% citing Shopify/eMarketer data — the figures likely reflect different survey populations or definitions. See Contradictions section.
- 75% of shoppers who use BOPIS are reported as more likely to make additional purchases — a propensity metric, not a realised rate. (Shopify, 2026)
- Basket uplift is location-dependent: high-street and mall stores see 15–25% incremental basket uplift from C&C customer visits; destination/out-of-town retail sees zero uplift. Applying a high-street average to justify an out-of-town C&C programme misrepresents the economics. (r/ecommerce, 2024-12, 156 upvotes)
- A C&C customer cohort at one retailer showed 18% higher average order value than delivery customers and was 31% more likely to make an additional in-store purchase. (r/ecommerce, 2024-12, 267 upvotes — single commenter; treat as directional)
- Retailers with curbside pickup report online conversion at 3.9% vs. 3.1% for those without. (Red Stag Fulfillment, 2026 — original underlying source not cited; low confidence)
P&L economics
One finance director's assessment (r/ecommerce, 2024-12, 312 upvotes — highest-signal ROI analysis in dataset):
| Item | Per-order range |
|---|---|
| Outbound shipping saving | +£4–6 |
| Store labour (pick + pack + handoff) | −£2.50–4.50 |
| Net on a successful order | +£0.50–3.50 |
| Mis-pick correction cost | −£8–15/incident |
| Customer service call for failed order | −£6–12/incident |
| Uncollected restocking labour | −£1.50 |
| Markdown loss on held then returned items | ~2% of C&C order value |
| Net conclusion | Positive ROI on apparel orders above £35 basket value only |
- The labour cost of C&C is systematically misclassified in most retailers' P&L: buried in store overhead rather than charged back to ecommerce. Store managers bear the pain but ecommerce P&L looks clean. "The only retailers making honest money from C&C are the ones who've either automated it (lockers) or charge a small fee (£1–2)." (r/retail, 2024-07, 445-upvote post)
- 54% of retailers implementing BOPIS cite increased operational and staff challenges as a significant difficulty (as-of 2026). (Retalon, 2026 — vendor source; underlying survey not cited)
Inventory accuracy — the structural bottleneck
- Store inventory accuracy is 85–92% in well-run stores vs. 99%+ at a DC. C&C asks a 90%-accurate system to fulfil commitments requiring ~99% accuracy. The mismatch is structural, not a configuration problem. (r/supplychain, 2024-07, 167-upvote top comment; echoed across r/ecommerce and r/retail)
- A safety stock buffer — surfacing C&C availability only when 3+ units are in store, not 1 or 2 — moved one retailer's first-attempt fill rate from 87% to 94% with no tech investment. Management resistance ("looks like turning down orders") is common but failure-rate economics favour the buffer. (r/supplychain, 2024-07, 198 upvotes)
- RFID raises store accuracy to 96–99%. Business case for C&C specifically: 50k orders/year moving from 87% to 95%+ fill rate = 4,000+ fewer pick failures/year, worth £40–60k annual savings (staff, CS, churn), independent of other RFID benefits (as-of 2024-03). (r/supplychain, 2024-03, 189 upvotes)
- Physical locked hold areas with keypad access (C&C-trained staff only) reduced one retailer's mis-pick rate from 12% to under 2% by preventing floor staff from pulling the last unit of a popular size to serve an in-store customer. (r/ecommerce, 2024-08, 156-upvote comment; corroborated by r/retail)
See also: Inventory Accuracy
Operational requirements and staff burden
- The average time per C&C order from receipt to shelf in one Dutch fashion retailer's time-and-motion study was 8.5 minutes (14 minutes during peak). At average retail wages, approximately €3.50 in labour per order — a cost absent from most shipping-savings comparisons. (r/retail, 2024-07, 389 upvotes)
- During peak, 2–3 people are pulled off the sales floor permanently for C&C duties at a large fashion retailer, understaffing the shop floor. Staff bear customer-facing blame when orders fail despite the root cause being an ecommerce system decision. (r/retail, 2024-07, 892-upvote post, 347 comments)
- "Every C&C pick is stolen from floor sales time, fitting room assistance, or queue management." Chains that handle it best have a dedicated C&C person at high-volume stores during peak hours — a cost that should sit on the ecommerce P&L but usually does not. (r/retail, 2024-07, 567-upvote comment)
- BOPIS SLA best practice: orders pickable within 47 minutes; most apparel retailers reportedly take 2.3 hours, with store associates searching multiple locations even when systems indicate inventory is available (damaged returns, misallocated stock). (SKUNexus, 2024 — vendor source)
- C&C shifts fulfilment risk from the warehouse (where QA exists before dispatch) to the store floor (where errors reach the customer at the till). The customer sees the store failing, not a back-end system failing. (r/retail, 2024-07, 278 upvotes)
Customer experience
- Industry-observed first-attempt resolution rate (customer arrives, everything correct, first visit): 78–84% across multiple retailers — meaning 16–22% of C&C customers encounter something wrong. Described as "an incredibly high failure rate for a customer touchpoint that's supposed to build loyalty." (r/ecommerce, 2024-08, 234-upvote comment — cross-retailer observation, not single data point)
- C&C customer complaint ranking (one mid-size retailer): (1) item not ready on arrival, (2) wrong item picked, (3) long wait at desk, (4) no parking near store, (5) notification sent before order is physically ready. (r/ecommerce, 2024-10, 167-upvote post)
- 8–12% of C&C orders are never collected. Items held, then returned to stock, often during key selling windows. Moving to a 48-hour hold window with 24hr and 4hr reminder sequences reduced uncollected rate from ~9% to 5.5%. (r/retail, 2024-12, 234-upvote post, 145-upvote confirmation)
- Uncollected items returning to stock after a hold window cost approximately 2% of total C&C order value in markdown losses — items that would have sold at full price if not held. On £2m annual C&C revenue: £40k in markdown cost not attributed to the C&C P&L. (r/retail, 2024-12, 178 upvotes)
- C&C complaint rates post-failure are 3–4× higher churn than a standard online return. "You've converted a low-effort online interaction into a high-effort physical disappointment." (r/ecommerce, 2024-09, 289-upvote comment — single commenter, unverified figure)
- Customer SLA expectation: 1–3 hours from order placement to ready-for-collection notification. (SupplyChain247, date unconfirmed — stale-risk flagged)
Fashion and apparel specifics
- A women's fashion brand reports C&C return rate of 67% vs 23% for home delivery. Qualitative research showed customers use C&C specifically to try items in a fitting room and return what does not work at the same counter. "Staff pick orders, customers try on 5 items, return 4 at the same counter. Net revenue per C&C order is often negative after labour costs." (r/ecommerce, 2024-05, 198-upvote post, 89 comments)
- Retailers call this "fitting room arbitrage": C&C customers buying 3+ items per visit are profitable; picking up 1 and returning none breaks even; picking up 5 and returning 4 costs money. One brand added an "add one more item" prompt at C&C checkout, moving average items per C&C order from 2.1 to 2.8, improving the P&L. (r/ecommerce, 2024-05, 167 upvotes)
- Systems do not track "sellable condition" at SKU level in-store. A Size M in red may exist in the stock system but actually be display stock (slightly soiled). Staff pick the display item; customer rejects it at collection. "This is a gap that nobody's solved well." (r/ecommerce, 2024-05, 198-upvote comment)
- C&C in apparel requires ATP calculations at the style-colour-size hierarchy, accounting for physical count minus allocated orders minus safety stock across multiple location pools. (SKUNexus, 2024 — vendor source) See also: Available-to-Promise (ATP)
- Shopify advises setting up a fitting/try-on space at the pick-up point for apparel so customers can try items before leaving, increasing the chance of being able to restock items undamaged. (Shopify, 2026)
Lockers and fashion: Lockers do not work well for fashion. Item sizes are too variable — a dress in a garment bag does not fit in a standard locker cell. One retailer trialling lockers found 30% of fashion C&C orders could not physically fit in available cells. Lockers suit accessories, beauty, and small hardlines; not garments. (r/retail, 2024-04, 189-upvote comment)
Smart lockers
- A retailer that switched 8 of 24 stores to smart lockers: staff time per C&C order dropped from 12 minutes to 4.5 minutes (picking still manual; locker removes collection interaction). Customer CSAT for C&C rose from 3.4/5 to 4.1/5, mainly because customers collect any time without queuing. Lockers hit 90%+ capacity during peak, forcing fallback to desk pick-up — "you need more locker space than you think." (r/retail, 2024-04, 234 upvotes)
- Lockers shifted collection timing away from peak trading hours. Busiest C&C collection times (noon–2pm and 5–7pm) coincide with peak in-store trading. Lockers moved 65% of collections to off-peak times, freeing best sales staff during the trading day. (r/retail, 2024-04, 167 upvotes)
- Smart lockers eliminate queue congestion, reduce failed pickups, and can handle returns without staff involvement; 24/7 access extends collection windows beyond trading hours. (Smartbox Lockers, 2024–2025 — vendor source; Parcel Pending, date unknown — vendor source)
Technology stack
- The OMS layer handles channel-agnostic order intake, ATP check against store inventory, routing decision, order preparation triggering, and customer notification orchestration. (OneStock, 2024–2025 — vendor source)
- OneStock OMS workflow: order received → routes to selected store (or alternate if stock unavailable) → store associate receives push notification via fulfilment app → associate locates and scans barcode to validate → OMS triggers email/SMS to customer with pickup instructions. Supports item-level splitting across multiple fulfilment nodes — relevant for fashion where size/colour availability is fragmented. Commercetools Connect certified partner. (OneStock, 2024–2025 — vendor source)
- Named OMS/DOM vendors with stated C&C support (as-of 2025): Aptos, Blue Yonder, Deck Commerce, Deposco, Fluent Commerce, IBM, Infios (Koerber), Kibo Commerce, Manhattan Associates, OneStock, Oracle, Orckestra, Radial, Salesforce Order Management, Softeon, Tecsys, Vinculum, KBRW. Native vs. add-on distinction not differentiated in available public sources — this is a gap. (GlobeNewswire/market report, 2025-03-31)
Shopify-specific issues:
- Shopify shows items as available for pickup if in stock at ANY location, not necessarily the one the customer selected. Partially fixed in early 2024 but remains unreliable when ship-from-store is also enabled. Root cause: Shopify's inventory API has no native soft-reserve concept — stock can be oversold between order placement and system sync. (r/ecommerce, 2024-09, 342-upvote post — highest-score post in dataset)
- Shopify–Brightpearl OMS inventory sync lag is regularly 15–30 minutes — sufficient for in-store sale of an item showing as available for C&C. Configuring near-real-time webhooks with polling fallback reduced oversell incidents by ~80% in one integration. (r/ecommerce, 2024-09, 134 upvotes)
- Shopify's "ready for pickup" notification fires at order placement, not physical confirmation. Fix requires disabling auto-notifications and triggering via custom staff tag — which breaks other automations. One dev team built a mandatory PWA for staff picking confirmation at ~£8k/3 weeks. (r/shopify, 2024-09, 178-upvote post)
- Reliable Shopify multi-location C&C stack (25 locations): Shopify as front-end only; Linnworks or Brightpearl as inventory truth; custom middleware (Node.js + Redis) syncing with sub-2-minute latency via bulk API calls every 2 minutes. Build cost: £40–60k. Annual maintenance: £15–20k. (r/shopify, 2024-06, 156-upvote comment)
- Multiple practitioners describe Shopify as "a D2C platform bolted onto retail." For serious multi-location C&C the inventory model, fulfilment model, and notification model were not designed for multi-location physical retail. Alternatives cited: Commercetools, VTEX, Salesforce Commerce Cloud. (r/ecommerce, 2024-09, 245 upvotes; r/shopify, 189 upvotes)
Checkout UX:
- Hiding the BOPIS option when unavailable (vs. showing it greyed out) lifted checkout conversion by 2.1% in A/B testing. "If a customer has to scroll more than once to select their store, they will abandon." (r/ecommerce, 2024-03, 198-upvote comment)
- One retailer with 12 stores reports the store selector UI drove a 4% checkout conversion drop after BOPIS launch. After spending "3× more time on BOPIS UX than BOPIS operations," they reduced BOPIS checkout drop rate from 18% to 6%. (r/ecommerce, 2024-03, 145 upvotes)
- Google Merchant Center introduced new collection SLA submission requirements from 1 September 2024: retailers using Google Shopping with C&C listings must declare and honour collection readiness SLAs explicitly. (Google Merchant Center, 2024)
Contradictions
Additional in-store purchase rate: Capital One Shopping (2025) reports 85% of US BOPIS shoppers have made an additional purchase on a store collection visit. Shopify/eMarketer data references 44% of US click-and-collect buyers purchasing something extra. The figures likely reflect different survey populations, time periods, or definitions (lifetime "ever" vs. "typically"). Neither source publishes full methodology. [https://capitaloneshopping.com/research/buy-online-pick-up-in-store-statistics/] vs. [https://www.shopify.com/retail/click-and-collect-reduce-retail-returns-and-increase-foot-traffic-with-in-store-pickup-options]
BOPIS retailer adoption: Capital One Shopping (2025) reports 77.2% of top-1,000 US retail chains offered BOPIS in 2024, down 1.4% YoY — signalling post-pandemic contraction. Other vendor/aggregator sources (e.g., accio.com) cite 87% of merchants offering BOPIS — likely reflecting a different, more digitally-native merchant universe. [https://capitaloneshopping.com/research/buy-online-pick-up-in-store-statistics/] vs. [https://www.accio.com/business/click_and_collect_trends]
C&C profitability: A finance director on r/ecommerce (2024-12, 312 upvotes) concludes C&C is only ROI-positive on apparel above £35 basket value, citing labour, mis-pick correction, and markdown costs. A counter-commenter on the same thread (2024-12, 267 upvotes) argues C&C is "our most profitable fulfilment channel" when basket uplift from store visits is included. The disagreement reflects whether uplift revenue is attributed to the C&C fulfilment channel or to the store channel. [https://www.reddit.com/r/ecommerce/comments/1hk3m5r/]
Fashion C&C return rate: One women's fashion brand reports 67% C&C return rate vs 23% home delivery (r/ecommerce, 2024-05, 198-upvote post). No independent published study on this differential was found. The gap between C&C and home-delivery return rates in fashion is unconfirmed outside this practitioner account.
Key terms
| Term | Meaning |
|---|---|
| BOPIS | Buy Online, Pick Up In Store — North American term; equivalent to UK click and collect |
| BOPIL | Buy Online, Pick Up In Locker — smart locker variant |
| Curbside pickup | Employee brings order to customer's vehicle at a designated bay |
| Ship-to-store | Order fulfilled from DC to store rather than from store stock |
| Reserve and collect | Customer reserves without full payment; tries in-store before committing |
| First-attempt resolution rate | % of C&C orders where customer arrives and everything is correct on first visit |
| Fitting room arbitrage | Fashion-specific pattern where customers use C&C primarily as a try-on mechanism, returning most items at the collection counter |
| Hold zone | Physical locked area in-store reserved exclusively for C&C orders |
Frontier concepts (next harvest candidates)
- Inventory Accuracy — structural dependency for C&C; 85–92% store accuracy vs 99%+ DC; most cross-referenced unwritten concept in vault
- Click and Collect Checkout UX — store selector UX, availability display, greyed-out handling, scroll depth; distinct UX sub-topic
- Omnichannel Retail — inventory pooling, unified customer view, store-as-fulfilment; parent concept
- Ship-from-Store — related fulfilment model; uses the same OMS/WMS integration surface
- Post-Purchase Experience — notification orchestration, collection reminders, uncollected order handling
Benchmarks summary (as-of 2026-06-20)
| Metric | Benchmark | Source |
|---|---|---|
| US C&C market (2024 actuals) | $109.36B, +10.1% YoY | eMarketer / Capital One Shopping |
| US C&C market (2026 forecast) | $177.9B, 11.0% of ecommerce | eMarketer, Jan 2026 |
| BOPIS retailer adoption (top-1000 US chains) | 77.2%, down 1.4% YoY | Capital One Shopping, 2025 |
| Consumer BOPIS usage (US) | 72% ever; 52% monthly | electroiq.com, 2025 |
| First-attempt resolution rate | 78–84% | r/ecommerce, 2024-08 |
| Uncollected order rate | 8–12% | r/retail, 2024-12 |
| Store inventory accuracy (no RFID) | 85–92% | r/supplychain, 2024-07 |
| Store inventory accuracy (with RFID) | 96–99% | r/supplychain, 2024-03 |
| Average pick time (fashion, normal) | 8.5 min | r/retail, 2024-07 |
| Average pick time (fashion, peak) | 14 min | r/retail, 2024-07 |
| Labour cost per C&C order (EU fashion) | ~€3.50 (non-peak) | r/retail, 2024-07 |
| Fashion C&C return rate (one brand) | 67% vs 23% home delivery | r/ecommerce, 2024-05 |
| Staff time per order with lockers | 4.5 min vs 12 min (desk) | r/retail, 2024-04 |
| Customer CSAT with lockers | 4.1/5 vs 3.4/5 (desk) | r/retail, 2024-04 |
| Shopify multi-location C&C custom build | £40–60k + £15–20k/yr maintenance | r/shopify, 2024-06 |