Idea or playbook

Planning Delivery Routes Without the Guesswork

For: Operations · Difficulty: Beginner

The problem: Tuesday's deliveries zigzag across town. Your driver doubles back twice, and the last customer gets their order late.

What you end up with: A simple delivery list in a sensible order, with time windows and notes, ready before the van leaves.

What you'll need

Today's delivery addresses, any time windows, and where the van starts and ends.

Getting set up

Which stop should come first? Let's get the order right before the van leaves. Google says Gemini Spark can work with Google Maps and your other Google apps. If you run a service business on Housecall Pro, it lists routes on its plans. Keep the list simple: customer, address, time window, notes. Example: a florist has 11 deliveries on a Friday, three with time windows (a hospital before noon, an office between 1 and 2, and a surprise birthday after 4). The AI groups the north-side stops together, puts the hospital first, and leaves the birthday for last. The owner checks the order on a map, swaps two stops because of a school zone, and texts the driver the list. (Our illustration.)

Step by step

  1. List today's stops with addresses and time windows.
  2. Ask the AI to suggest an order that groups nearby stops.
  3. Check the order on a map yourself.
  4. Put fixed time windows first.
  5. Send the driver the list with notes, like gate codes kept private.
  6. Text customers an estimated window.
  7. Note what slowed things down, and adjust next time.

A prompt to start with

Copy this prompt, then make it your own. "Here are today's deliveries: [list with addresses and time windows]. The van starts and ends at [address]. Suggest an order that groups nearby stops and respects the time windows. Show it as a numbered list. Don't add stops or change addresses."

What you'll get

A numbered route list with time windows and notes. You'll also have a short note for each customer with an estimated delivery window. Time it takes: about 10 minutes the night before. Sample output (made up): "1. Hospital front desk (before noon). 2. 14 Elm St (side door). 3. Office park, Suite 200 (1 to 2 p.m.). 4. Birthday at 88 Oak Ave (after 4, call on arrival)."

If something goes wrong

If the order looks odd, check addresses for typos. If traffic changes the plan, ask for a new order from the next stop. If the route crosses town twice, check that each address includes a ZIP code. If a customer changes their window, ask for a new order from that stop on.

Keep in mind

AI suggestions aren't live traffic directions. Always use a proper map app while driving, and never let a driver read a phone at the wheel. Make it a habit: build the list the night before, and keep notes like "side door" or "call on arrival" for repeat customers.

Sources

Where each fact came from

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