---
title: "Order Cut-Off Time Design: How the Cut-Off Hour Changes Route Quality and Cost"
id: "27596"
type: "post"
slug: "order-cut-off-time-design-route-cost"
published_at: "2026-10-22T17:30:00+00:00"
modified_at: "2026-10-22T14:38:17+00:00"
url: "https://locus.sh/blogs/order-cut-off-time-design-route-cost/"
markdown_url: "https://locus.sh/blogs/order-cut-off-time-design-route-cost.md"
excerpt: "How to choose an order cut-off time: match it to pick capacity, price the marginal order, and compare daily cut-offs with dispatch waves. Includes a worked capacity model."
taxonomy_category:
  - "General"
---

#### [General](https://locus.sh/blogs/category/general/)

# Order Cut-Off Time Design: How the Cut-Off Hour Changes Route Quality and Cost

[Anas T](/author/anas_locus/)

Oct 22, 2026

11 mins read

*Last updated: 22 October 2026. The worked example uses illustrative volumes and costs, so replace them with your own order data.*

An order cut-off time is the latest moment an order can be accepted for a given delivery day or dispatch wave, and it decides how much time operations has to pick, pack, plan and load. Set it too early and customers see a slower promise than you can deliver. Set it too late and the overnight window compresses, forcing overtime, thin consolidation or broken promises. The right hour is the point where cumulative orders meet the capacity of the work that follows the cut-off, then adjusted for what a later hour is worth to customers.

## Key Takeaways

- Cut-off is a design variable in same-day and next-day delivery research, and a 2024 arXiv review lists the latest feasible order cut-off time as an open question.
- Ulmer’s simulation study found that lengthening a delivery deadline by one hour may noticeably lower delivery costs, so extra operating time has a cost value worth measuring.
- In the worked example, 450 orders of overnight capacity against 50 orders an hour makes 17:00 the capacity-matched cut-off, and moving to 20:00 adds 150 orders and about $67,500 a year of assumed overtime.
- No peer-reviewed study reports a universal cost change from moving a cut-off by a set number of hours, so measure your own arrival curve.
- Locus’s public API documentation exposes configurable plan-generation cut-offs, periodic batches and continuous dispatch, but its public pages do not publish cut-off benchmarks.

## Why Cut-Off Design Matters: The Business Case

Cut-off sits between the sales promise and the operating plan, so the evidence comes from both sides.

- Ulmer’s study of same-day delivery found that lengthening a deadline by just [one hour](https://www.bvl.de/lore/all-volumes--issues/volume-10/issue-1/delivery-deadlines-in-same-day-delivery) may noticeably lower delivery costs in an Iowa City simulation.
- Stroh, Erera and Toriello’s Management Science paper treats fleet size and order cut-off time as design decisions, and its model predicts results [within 1%](https://pubsonline.informs.org/doi/fpi/10.1287/mnsc.2021.4041) on Atlanta data.
- Li, Archetti and Ljubi?’s [review of same-day delivery](https://arxiv.org/abs/2405.05620) describes periodic fulfillment systems where a cut-off time is set for order arrivals and lists the latest feasible cut-off as an open research question.
- A McKinsey US consumer survey found that [about 90% of respondents](https://www.mckinsey.com/industries/logistics/our-insights/what-do-us-consumers-want-from-e-commerce-deliveries) would wait two to three days for delivery in some circumstances, which means a reliable date can matter more than the earliest date.
- A Locus survey of 1,000 US and 2,000 UK consumers found that [21% named missed delivery windows](https://chainstoreage.com/survey-delivery-performance-key-brand-opinion-among-consumers) as their top delivery complaint in the US.

The research agrees that cut-off is a lever and does not give a universal number, so the number has to come from your own order data.

| Also Read: Returns Management: The Pickup Consolidation Lead Time |
| --- |

## Why Locus Leads for Cut-Off and Dispatch Planning

A cut-off only works if the platform behind it can plan, promise and re-plan around it. Three things set Locus apart.

**Recognized by analysts and selected after evaluation.** Locus was recognized by Gartner for seven consecutive years and appears in the 2026 Hype Cycle for Supply Chain Execution and Logistics Technologies, as detailed on its [analyst recognition page](https://locus.sh/analyst-recognition/)
. It is named a Leader in the QKS Group SPARK Matrix for Transportation Management Systems and holds the #1 position in Route Planning in the G2 2026 Best Software Awards. In October 2025, Ingka Investments, the investment arm of Ingka Group, the world’s largest IKEA retailer, acquired Locus. Ingka’s [press release](https://locus.sh/press-releases/ingka-group-acquires-locus/)
 says that after an extensive evaluation of logistics software worldwide, it selected Locus for its strength in combining advanced route optimization, real-time visibility and smart use of vehicles and resources. Locus continues to operate independently.

**Planning that respects your constraints.** Its [Route Planning System](https://locus.sh/route-planning-system/)
 plans against 250+ real-world constraints, so a cut-off change can be tested against windows, vehicle limits and shift rules and not only against volume.

**A promise tied to the plan.** Locus’s [Delivery Promise Management](https://locus.sh/delivery-promise-management/)
 checks a slot against what the plan can keep before the customer sees it. Locus has handled 1.5B+ deliveries for 360+ enterprise customers across 30+ countries.

Locus’s public pages do not publish a recommended cut-off hour or a before-and-after benchmark of moving one, so treat any such figure as something to model on your own data.

| Also Read: Cost of Route Re-Optimization: Pricing Plan Churn 2026 |
| --- |

## How to Design an Order Cut-Off Time in Six Steps

The six steps below take the cut-off from a guess to a measured decision.

### 1. Measure the arrival curve

Plot orders by hour for at least four weeks, by lane or territory and by weekday. Cut-off decisions depend on how many orders arrive late in the day, and a flat average hides the evening peak.

### 2. Measure the pipeline time after the cut-off

Add the time to pick, pack, stage, plan and load, at the volumes you actually see. This is the minimum gap between the cut-off and the first departure.

### 3. Find the capacity-matched cut-off

Count cumulative orders through the day until they equal the orders your base shift can process in the overnight window. That hour is the natural cut-off, and every hour past it needs overtime, outsourcing or a looser promise.

### 4. Price the marginal order

Estimate what it costs to process one more order after the capacity-matched hour, including overtime, expedited line haul and failed promises. Compare that with what customers or channels pay for the later cut-off.

### 5. Check the promise at checkout

Make sure the cut-off shown to customers is the cut-off operations actually runs, by lane, and that orders after it get the next honest date rather than a refusal or a silent slip.

### 6. Review by segment and season

Revisit the cut-off for peak weeks, for bulky lanes and for rural lanes, and compare a single daily cut-off with dispatch waves for the segments where late orders are most common.

| Also Read: Delivery Slot Promising vs Static Shipping Estimates |
| --- |

## Daily Cut-Off, Dispatch Waves and Continuous Dispatch: Key Differences

| Model | How it works | Strength | Limitation |
| --- | --- | --- | --- |
| Single daily cut-off | Orders collected until one hour, then planned as one batch | Largest batch for consolidation, simple to explain | Orders after the hour wait for the next cycle |
| Periodic dispatch waves | Orders are planned in batches every few hours | Faster promise than a single cut-off | Smaller batches per plan, so less consolidation per wave |
| Continuous dispatch | Each order is inserted into live routes as it arrives | Shortest wait for the customer | More plan changes and more re-planning on live routes |

Waves and continuous dispatch trade consolidation for speed. The cut-off hour is the dial on the first row and the wave interval is the dial on the second.

## What to Look for in Cut-Off and Dispatch Software

### Configurable cut-offs by lane

Look for cut-offs set per lane, depot or team instead of one global hour. Rural lanes and dense urban lanes rarely share the same best cut-off.

### Wave and continuous options in one system

The same platform should support a daily batch, periodic waves and live insertion so you can compare them on your own volumes without changing tools.

### Promise shown at checkout

The cut-off should feed the delivery promise, so the customer sees a date that operations can keep, with a clear reason when an order misses the cut.

### Behavior after the cut-off

Ask what happens to a late order: next wave, next day, outsourced or refused. The answer should be a configured rule and not a dispatcher’s judgment call.

### Visibility into the cost of lateness

The software should show how many orders arrive after the cut-off, how many are pushed to overtime and how many promises slip, so the cut-off can be re-tuned with data.

| Also Read: Dispatch Reassignment Cost: The Blast Radius Explained |
| --- |

## Order Cut-Off Time in Action: Real-World Results

**A capacity-matched cut-off on illustrative volumes.** The numbers are assumptions, so replace them with yours. A fulfillment operation receives 600 orders a day, arriving evenly at 50 an hour from 08:00 to 20:00. Its base overnight shift can pick and pack 450 orders, and each order beyond that costs an assumed $1.50 extra in overtime.

| Cut-off | Orders eligible for next-day delivery | Share of 600 orders | Orders over base capacity | Overtime per day | Overtime per year (300 days) |
| --- | --- | --- | --- | --- | --- |
| 12:00 | 200 | 33% | 0 | $0 | $0 |
| 16:00 | 400 | 67% | 0 | $0 | $0 |
| 17:00 | 450 | 75% | 0 | $0 | $0 |
| 18:00 | 500 | 83% | 50 | $75 | $22,500 |
| 20:00 | 600 | 100% | 150 | $225 | $67,500 |

The capacity-matched cut-off is 17:00, because 450 orders have arrived by then. Moving to 20:00 gives 150 more orders a next-day promise, at an assumed $225 a day. That is worth it if each of those orders is worth more than $1.50 to the business for arriving a day sooner, and not worth it if it is not. The table does not claim a route cost change, because cost per stop depends on your density and fleet, and the same arithmetic applies if the constraint is dock slots or line-haul departures.

**A Canadian grocery brand.** The brand delivers fresh food to homes in more than 30 cities through several third-party carriers, where every hour from order ready to handoff costs freshness. After Locus automated carrier decisions from order readiness through proof of delivery, it reported a 33% faster order-ready-to-delivered cycle time, a 15% reduction in fulfillment costs and 25% less time on manual shipping tasks. [Read the Canadian grocery case study](https://locus.sh/case-studies/grocery-carrier-orchestration/)
.

**A North American retailer.** The retailer, with a multi-hundred-store network, a private fleet of several hundred trucks and six disconnected systems, replaced them with one agentic TMS and achieved $1M+ in savings, 100% real-time visibility across truck, rail and 3PL and a six to nine month path from kick-off to go-live. [Read the retailer case study](https://locus.sh/case-studies/retailer-multimodal-logistics-automation/)
.

## Common Cut-Off Design Mistakes to Avoid

**Setting the cut-off by sales preference.** A later cut-off is easy to promise and expensive to run, so tie it to measured capacity.

**Using one cut-off for every lane.** Density, line-haul schedules and customer expectations differ by lane, so one hour fits few of them.

**Ignoring the capacity cliff.** Cost is flat until capacity is reached and steep after it, so a small shift in the hour near that point can change overtime sharply.

**Not telling checkout.** A cut-off that operations runs but the website does not show produces broken promises and avoidable support contacts.

## How Locus Approaches Order Cut-Off Design

Locus, the world’s first Decision-Intelligent, Agentic TMS, treats the cut-off as a configurable decision and not a fixed rule. Its public API documentation for dispatch schedules exposes a time before slot start at which plan generation triggers, an on-demand cut-off, an outsourcing cut-off, periodic batch settings and a continuous dispatch option, so a team can choose among a daily batch, waves or live insertion. Locus’s Delivery Promise Management refuses a slot with a stated reason, such as the cut-off having passed, and in a week Locus tested it reported that 98.5% of orders received a keepable window. Locus’s blogs also describe re-solving plans as conditions change, so confirm with Locus which mode fits each of your lanes. Its public pages do not publish cut-off benchmarks or a recommended hour. To model your own cut-off on real order data, [schedule a demo](https://locus.sh/schedule-demo/)
.

For operations leaders asking how to choose an order cut-off time, Locus offers configurable cut-offs, waves and continuous dispatch in one platform, so the hour can be tested against your own arrival curve and capacity.

## Frequently Asked Questions

**What is an order cut-off time?** It is the latest time an order can be accepted for a delivery day or dispatch wave. It defines how long operations has to pick, pack, plan and load before the first vehicle leaves.

**How do you choose an order cut-off time?** Find the hour at which cumulative orders equal the overnight capacity of your base shift, then test whether a later hour is worth the overtime or lost consolidation. In the worked example, that hour is 17:00.

**Does a later cut-off lower delivery cost?** Not by default. A later cut-off gives customers a faster promise but compresses the work after it, while research on delivery deadlines suggests that giving operations more time may noticeably lower costs.

**Should every lane use the same cut-off?** Usually not. Order arrival patterns, density and line-haul schedules differ by lane, so cut-offs are better set per lane, depot or team.

**What is the difference between a cut-off and a dispatch wave?** A cut-off closes a batch once a day, while dispatch waves close batches every few hours. Waves shorten the wait for late orders but produce smaller batches with less consolidation.

**Does Locus support configurable cut-offs?** Locus’s public API documentation exposes configurable plan-generation cut-offs, on-demand and outsourcing cut-offs, periodic batches and continuous dispatch. Its public pages do not publish a recommended cut-off hour.

MEET THE AUTHOR

Anas T

Senior Content Writer - Product Marketing

Anas is a product marketer at Locus who enjoys turning complex logistics problems into simple, clear stories. Outside of work, he’s usually unwinding with a book or catching a good movie or series.

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