On this page
- Terminology and relationship to OTB
- How OTR works in the WSSI
- OTR formula context
- Key levers for managing OTR
- Phased delivery
- In-season reserve
- Cover-based push/pull
- Benchmarks (as-of 2026-06-01)
- Returns impact on OTR
- OTR and warehouse capacity (macro context, 2026)
- OTR in planning software
- Key terms
- What practitioners report
- Gaps and frontier
Open-to-Receive (OTR)
Open-to-Receive (OTR)
Open-to-Receive (OTR) is a merchandise planning metric representing the scheduled inflow of merchandise — expressed as quantities and delivery dates — that a retailer plans to receive into its warehouse or stores during a given period. While Open-to-Buy (OTB) governs the uncommitted financial budget (what still needs to be purchased), OTR captures the committed pipeline (what is already on order and when it will arrive).
Terminology and relationship to OTB
OTR and OTB are closely intertwined — and in practice the terms are used inconsistently across the industry.
StyleMatrix (2026-04-13) frames them as complementary: OTB is the remaining purchase budget; OTR is the delivery schedule that must be coordinated with it — "aligning OTB with OTR ensures products arrive just as needed, preventing both empty shelves and costly surpluses." (StyleMatrix)
John Hobson (merchandise planning consultant, ~30 years' experience, via Automat BI) argues that the figure most practitioners call "Open to Buy" in a WSSI is technically more accurately called "Open to Receive": "After netting off existing committed purchases, the resulting figure is commonly referred to as the 'Open to Buy' for the week. However, this is a bit of a misnomer as it is in fact an 'Open to Receive', and the purchases will have to be committed at different times depending on variable lead times." (Automat BI)
OTB vs OTR as distinct vs. synonymous constructs. StyleMatrix (2026) treats OTR as a distinct concept from OTB — complementary tools that must be coordinated. Hobson/Automat BI argues the WSSI output most call "OTB" is technically OTR, making them effectively the same residual figure labelled differently. The vendor mainstream (RELEX, daVinci, Toolio, Blue Yonder, Shopify, Retail Dogma) uses "OTB" for both the budget and the receipt plan without distinguishing OTR as a separate label. Neither position is wrong; they resolve at different levels of planning precision.
In UK/fashion practice, OTR is most often surfaced as the Intake column of a WSSI. In US retail planning, the same concept appears as Receipts or Receiving in the OTB spreadsheet model.
How OTR works in the WSSI
The WSSI (Weekly Sales, Stock and Intake) is the primary operational tool that makes OTR visible. All raised purchase orders are plotted by their expected delivery week, giving planners a forward view of inbound stock flow.
The stock identity that governs this is (Access To Fashion, 2025-08-31):
Closing Stock = Opening Stock + Intake (OTR) − Sales
Intake (OTR) is the only inflow variable; everything else is a deduction. This makes OTR the single lever through which a planner adds to the stock position in any given week.
Style Arcade (2026-06-01) notes that the WSSI also provides intake and despatch forecasts for the DC — directly linking merchandise planning to warehouse receiving operations, and allowing supply chain teams to pre-staff for heavy inbound weeks. (Style Arcade)
For the WSSI's OTR view to be trustworthy, purchase order data must be clean. Style Arcade (2026-06-01) warns: "A WSSI built on messy purchase order data produces an unreliable picture of future stock levels, which cascades into bad cover calculations, poor buying decisions, and inventory problems." A PO reconciliation (marking received orders as received, confirming expected delivery dates) is a prerequisite.
OTR formula context
OTR is not typically expressed with its own standalone formula. It is derived from the OTB/MFP planning framework:
Blue Yonder (© 2026) states the MFP receipt formula as:
Planned Sales + Planned Markdowns + Planned End-of-Month Inventory − Beginning-of-Month Inventory = Receipts (OTR/Intake) (Blue Yonder FAQ)
Toolio (updated 2026-05-29) describes the pre-season derivation: given a target stock-to-sales ratio (e.g., 3:1 for footwear), the planner generates a monthly receipt plan and calculates OTB as the uncommitted residual. The receipt plan is the OTR schedule. (Toolio)
RELEX (2025-06-18) frames OTB (and by implication OTR) as: planned receipts − already-committed on-order = remaining buying headroom; a shipment rescheduled from August to September automatically shifts OTR and OTB between months. (RELEX)
RELEX source published 2025-06-18; formula structure is structural/evergreen but product features may have changed.
Key levers for managing OTR
Phased delivery
The primary OTR management tool for long lead-time businesses (Style Arcade, 2026-06-01): a retailer commits to 10,000 units with a supplier but takes 2,000 per month over five months. The supplier holds the bulk stock, reducing warehousing pressure. The WSSI then manages deliveries dynamically — pushing out if stock cover is running high, pulling forward if cover is dropping. (Style Arcade)
In-season reserve
Style Arcade (2026-06-01) reports the best-practice split is to commit 60% of intake budget pre-season and hold back 40% for in-season trading, allowing teams to react to what is actually selling and place repeat orders on bestsellers.
Pre-season commitment split. Style Arcade (2026-06-01) recommends 60% pre-season / 40% in-season (url). An unnamed practitioner source (2023) describes an 80% pre-committed / 20% ASAP-or-at-once reserve structure. Both figures are vendor-sourced and methodology is not disclosed.
Cover-based push/pull
Stock Cover (stock ÷ weekly sales) is the primary signal for OTR decisions. Access To Fashion (2025-08-31) describes the logic: "If sales are running below forecast, we would either slow off the drops or reduce the amount we're ordering from the supplier."
Benchmarks (as-of 2026-06-01)
| Retail type | Target stock cover |
|---|---|
| Fast fashion / short lead times | 6–8 weeks |
| Long lead-time businesses | 10–12 weeks |
(Source: Style Arcade, 2026-06-01 — vendor-sourced, methodology not stated)
Returns impact on OTR
For high-return fashion businesses, Style Arcade (2026-06-01) notes that returns materially distort cover and OTR calculations: "for businesses with 40–50% return rates, a significant portion of stock could be sitting outside the warehouse in transit back from customers at any given time." All stock and cover calculations should be based on net sales after returns, not gross sales. (Style Arcade)
OTR and warehouse capacity (macro context, 2026)
As of July 2026, receiving capacity is under structural pressure in the UK/US market:
- The Logistics Managers' Index (LMI) rose above 70 for the first time since March 2022, with warehouse utilisation at 69.4 (highest since September 2022) and warehousing capacity contracted to 47.5 (as-of 2026-07-15). (Inbound Logistics, citing LMI survey data)
- Prologis (May 2026) reports new warehouse deliveries on pace for approximately 190 million sq ft in 2026 — the lowest level in a decade, approximately 20% below the pre-pandemic average, while warehousing prices are up 5.5 points year-over-year. (as-of 2026-07-15)
- Shopify (2026-03-09) reports that "in 2025 and 2026, retailers continue to report fluctuating supplier lead times and demand variability, particularly for high-velocity SKUs." (as-of 2026-03-09)
These conditions make OTR management more operationally complex: retailers front-loading inventory ahead of tariff deadlines are competing for the same constrained receiving capacity. (Inbound Logistics, 2026-07-15)
OTR in planning software
RELEX (2025-06-18) describes a delivery flow smoothing (DFS) capability layered on top of core OTB planning that smooths delivery schedules, aligns multi-tier deliveries, and reduces DC bottlenecks — a direct warehouse-side control on inbound receiving volume. (volatile: software feature as-of 2025-06-18)
daVinci Retail (2026-05-19, Leah Cook, 20+ years retail planning) states that OTB — and by extension the OTR receipt plan — should be treated as "the output of good planning," not a standalone spreadsheet, and should be automatically recalculated when planners update sales forecasts, ending inventory targets, or markdown expectations.
More than three-quarters of retail buyers still rely on spreadsheets to manage multi-million-dollar budgets, spending an average of 13 hours per week on manual tasks just to keep plans aligned, according to a daVinci Retail buyer survey (2026-05-19). Methodology (sample size, geography) not disclosed — treat as vendor-sourced benchmark.
Key terms
| Term | Meaning |
|---|---|
| OTR (Open-to-Receive) | Planned inbound merchandise by quantity and delivery date |
| Intake | UK/fashion term for OTR in WSSI planning |
| Receipts | US retail term for OTR in OTB spreadsheet models |
| On-Order | Committed purchase orders; the stock side of OTR |
| Cover | Weeks of stock remaining = stock ÷ weekly sales; the primary OTR management signal |
| Phased delivery | Splitting a total PO into periodic delivery tranches to manage DC capacity |
| WSSI | Weekly Sales, Stock and Intake; the operational tool that makes OTR visible week-by-week |
What practitioners report
YouTube content (IWANTTOBEAFASHIONBUYER, 2022; Access To Fashion, 2025–2026) consistently describes intake/OTR as a dual-mode metric: used pre-season to commit purchasing budgets, and in-season to monitor and adjust. No YouTube content uses the term "Open-to-Receive" explicitly — the concept lives under "intake" in fashion practice and "receipts" in general retail practice.
Supply chain teams (SmartIn Planning, 2020) use intake forecasts to plan DC staffing and freight — "DC rostering" — ahead of heavy inbound weeks.
SmartIn Planning source from 2020; included because no newer source explicitly connects OTR planning to DC capacity rostering decisions.
Gaps and frontier
- OTR as a standalone WMS metric — no source defines OTR as a named field or screen in WMS software (Manhattan Associates, Körber, Oracle WMS). The warehouse-side receiving capacity constraint (dock scheduling, labour limits, storage ceilings) is referenced indirectly but not modelled explicitly in any source found.
- OTR in omnichannel/ecommerce — all sources are fashion or bricks-and-mortar contexts; no source addresses OTR when fulfilment splits across DC, store, and drop-ship.
- Academic treatment — no peer-reviewed or NRF/McKinsey-level source covers OTR specifically.
(frontier: WSSI, Phased Delivery, Stock Cover, Distribution Centre (DC), Initial Markup (IMU))