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As of 13 August 2026, AI can only partly create a courier dispatch process.
Most people should hand this to a purpose-built tool.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ita colleague
What the alternative costsScribe is an alternative for turning workflows into step-by-step guides; the available data gives no price for a human alternative.
If this goes wrong, a courier can be sent to the wrong place or given an impossible run, causing missed deliveries, customer complaints and avoidable operational cost.
What to actually do
Use a tool built for this
The route this page recommends
Do it yourself
Second choiceA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open a blank document and gather your current delivery promises, collection cut-offs, operating hours, delivery areas, courier list, vehicle limits, booking system details and escalation contacts.
- Paste the gathered information into the prompt fields, leaving any unknown item as an explicit unknown rather than asking the model to fill it in.
- Paste the completed prompt into ChatGPT, Claude or Gemini and ask it to produce the SOP, responsibility table, decision rules, exception procedures and checklists in separate sections.
- Copy the draft into your normal process-document template and replace every marked assumption or management decision with an agreed business rule.
- Take several recent delivery jobs, including a late booking, a failed delivery, a vehicle breakdown and a capacity conflict, and run each one through the drafted decision rules to check that the next action and escalation are clear.
- Ask an experienced dispatcher or operations manager to compare the process with the live booking, route-planning, proof-of-delivery and customer-notification systems, then correct any step the team cannot perform.
- Issue the checked SOP to the dispatch team, run a short trial shift using the checklists, record exceptions, and update the document before making it the controlled process.
Prompt
Create a practical courier dispatch process for a UK business using the information below. Business and service: - Business type: [business type] - Delivery service offered: [same-day, next-day, scheduled, or other] - Operating days and hours: [days and hours] - Collection and delivery areas: [areas or postcodes] - Delivery promises and cut-off times: [details] Resources: - Couriers and employment status: [employees, contractors, or both] - Vehicles and capacity limits: [vehicle types and limits] - Dispatchers and their working hours: [details] - Booking, route-planning and proof-of-delivery systems: [tools or manual methods] Rules and constraints: - How jobs are prioritised: [rules] - Maximum collection or delivery wait times: [rules] - Restricted goods, access restrictions or special handling: [details] - Customer notification requirements: [details] - Escalation contacts and authority levels: [names or roles] - Records that must be kept: [details] Produce: 1. A clear end-to-end SOP from receiving a delivery request to closing the job. 2. A RACI-style responsibility table for the dispatcher, courier, customer service team and manager. 3. Explicit decision rules for prioritising jobs, assigning couriers, grouping deliveries and handling capacity conflicts. 4. Separate procedures for failed collection, failed delivery, damaged goods, late running, vehicle breakdown, customer cancellation and missing proof of delivery. 5. A dispatcher opening checklist, live-dispatch checklist and end-of-day checklist. 6. Required information fields for every job and an audit trail showing who changed what and when. 7. Escalation times and actions, using placeholders where I have not supplied a rule. 8. A short training and implementation plan. 9. Suggested operational measures, without inventing targets or claiming legal requirements. Use UK English. Do not invent policies, service levels, contact details, prices, routes, legal obligations or system capabilities. Mark every missing fact as an assumption or an item for management decision. Keep the process practical for a small operations team, and flag any point that should be checked against current UK transport, employment, insurance, health and safety or data protection requirements before launch.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
Hand it to a person
The distant thirdA person who owns the outcome does this end to end, worth it when the failure is dear.
What it gets wrong
- AI cannot know your real courier availability, vehicle capacity, delivery geography or customer commitments unless you provide them.
- It cannot decide whether an attractive prioritisation rule is workable when traffic, loading times, access restrictions and courier experience vary by job.
- It cannot confirm that each instruction matches the capabilities and permissions of your booking, routing or proof-of-delivery systems.
- It cannot take responsibility for missed deliveries, unsafe working practices, incorrect records or failures to meet your contractual and regulatory obligations.
What caps this at PARTLY: context depth, judgement under ambiguity and stakes of error.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 1 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 7 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT create a courier dispatch process?
- Yes, it can draft the SOP, decision rules, exception handling and checklists. You still need to supply your operating facts and test the result with someone who understands your live dispatch operation.
- What information does AI need to create a courier dispatch process?
- Give it your delivery promises, cut-off times, service areas, courier and vehicle capacity, booking systems, prioritisation rules, escalation contacts and proof-of-delivery requirements. Missing information should be marked as a management decision, not guessed.
- Can AI decide which courier should take each delivery?
- It can turn your stated rules into a dispatch decision procedure, but it cannot reliably judge every live factor without current availability, capacity, location and traffic data. A dispatcher still needs to handle ambiguous jobs and exceptions.
- How do I check an AI-written courier dispatch process?
- Run recent and difficult delivery scenarios through every decision rule, then have an experienced dispatcher compare each step with the systems and practices used on shift. Trial the process before adoption and correct any instruction the team cannot carry out.
Nearby answers
- Can AI create a GDPR data deletion procedure?PARTLY
- Can AI create a process checklist for my team?YES
- Can AI write a business continuity plan for a UK small business?PARTLY
- Can AI write a quality control procedure for my business?PARTLY
- Can AI write a workplace risk assessment?PARTLY
- Can AI create a closing checklist for my premises?YES
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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