A pizza shop can use delivery software with AI help by keeping three jobs separate: assign each order to a driver, promise a delivery time the kitchen can keep, and text the customer at set moments. Software handles live dispatch and sending; a chat assistant writes the rules and texts. Which tool fits depends mainly on your weekly volume.
Most pages that rank for this are directory lists with a sentence per tool. What they leave out is the order of decisions. Choose your driver model first (own staff, a fleet partner, or both), then the text moments, then the tool. The sections below walk that order using a made-up Friday night, with prices read from vendor pages in October 2026.
Own drivers or a fleet partner decides the shortlist
Software for pizza delivery splits into two families that solve different problems.
- Dispatch tools for your own drivers. You employ or contract the drivers. The software puts orders on a map, groups nearby drops, assigns them, and shows each driver a route. Routific and Onfleet are in this family, and so are the delivery features inside some point-of-sale systems.
- Fleet partners you call per order. You send the order to a courier network and pay a fee for each delivery. Square's on-demand delivery pricing policy, updated March 2026, lists DoorDash, Uber and Nash as providers. Under that policy DoorDash is a flat $6.99 per delivery up to a five-mile radius in most places, then $1 a mile up to ten miles, and Uber is a base of $4.20 plus $0.75 per kilometre. Other markets cost more, and the policy says Square may change the prices, so read the current page.
Most pizzerias end up with a mix. Two own drivers cover the steady load; a fleet partner absorbs the Friday spike, a wet Sunday, or the day a driver calls in sick. The tool you choose has to support that mix, which is why the first question for any vendor is whether it can dispatch to your drivers and to a partner from the same screen.
The options, compared on the three jobs
The table covers tools I could verify on the vendors' own pages. Where I could not verify something, it says so.
| Option | List price (USD) | Driver assignment | Customer texts | Fits |
|---|---|---|---|---|
| Square for Restaurants | Entry tier free to start, with paid tiers above (see Square's page for monthly prices) | Pickup and local delivery in the entry tier; fleet partners billed per delivery | Order-ready text when an order is marked complete in the kitchen display; no price listed on the page I read | One shop already on Square |
| Routific | Free up to 100 orders a month, then $150 a month flat up to 1,000 orders; per-order pricing above that | Optimises routes for your drivers; orders count once scheduled to a route | SMS arrives as an add-on and the free plan excludes it; rates vary, so you need a quote. Email and a tracker link are offered instead | One to three shops doing 100 to 1,000 deliveries a month |
| Onfleet | Launch from $619 a month for 2,500 completed deliveries; Scale from $1,349 for 5,000 | Core routing, tracking and proof of delivery on Launch; optimised routes assigned to drivers in minutes is listed under Scale | Branded tracking on every plan; texts billed by usage, from $0.013 per segment at the cheapest listed rate (other countries cost more); dynamic ETA notifications listed under Scale | A group of shops or a delivery-heavy chain |
| Fleet partners via Square | About $6.99 per delivery at DoorDash's listed rate for the first five miles; Uber is distance-based | The partner assigns its own courier | Tracking comes from the partner | Overflow, or no drivers of your own |
| Tookan | Not verified: review sites quote different plan prices and I could not open the vendor's own pricing page | Described by third parties as auto-assigning drivers | Unverified | Check the vendor directly before shortlisting |
Two things stand out. First, only Routific's free tier and Square's entry tier are cheap enough for a single shop, and neither includes the full set of customer texts on its free level. Second, Onfleet is priced for volume; at $619 a month the Launch plan costs about $0.25 per delivery if you fill the 2,500 included, but a shop doing 600 a month would pay about a dollar a delivery for the software alone. Match the tool to your real count, not to the one on the sales page.
A Friday night, worked through
This is an illustrative case, so the numbers are invented to show the method. A single-site pizza shop has two own drivers, one oven station that finishes about 10 pizzas every 10 minutes at best, and a Friday peak between 6 and 9 pm. On a typical Friday it takes 54 delivery orders in those three hours, 18 an hour.
A driver's cycle on a run is roughly: wait for the order bag (3 minutes), drive to the first drop (9 minutes), hand over (2), then either a second drop (6 more) and hand over (2), and return (10). Averaged, a run is about 32 minutes and carries 1.5 orders. A driver therefore delivers around 2.8 orders an hour. Two drivers deliver about 5.6 an hour, against 18 incoming. The gap is why Friday queues build, and why the software question is really a capacity question.
Now compare the choices over the 54 orders:
- Two own drivers only: they clear about 17 of 54 in three hours. The rest wait, and the quoted time on the last orders slides past 90 minutes. Not viable.
- Four own drivers: about 34 orders cleared. Still short by 20.
- Two own drivers plus a fleet partner for overflow: the partner covers about 37 orders. At the $6.99 listed rate that is about $259 for the night, which the shop might recover through a delivery charge. Illustrative, and dependent on your actual rate.
The point is not that the figures are right for your shop. It is that you can run this sum in ten minutes with your own average run time, and the result tells you whether you need a fleet partner, more drivers, or a smaller delivery radius before you pay for any software. If your sum shows capacity is fine and the problem is the phone, the tutorial on AI phone ordering costs for a pizza shop covers that side.
Delivery-time promises that do not break at 7 pm
The promised time is the number customers judge you by, and it is the easiest thing to get wrong. A promise has three parts, and software only knows some of them.
| Part of the promise | Who knows it | Example at 7:15 pm |
|---|---|---|
| Kitchen queue | You or your kitchen display | 14 minutes until this order leaves the oven |
| Wait for a free driver | Dispatch software | 6 minutes |
| Drive and hand over | Mapping inside the software | 12 minutes |
| Buffer | Your rule | 8 minutes |
| Quoted time | Sum | 40 minutes |
The buffer is where many shops lose the customer. If you quote the sum at 32 minutes and arrive at 38, you are late. Quote 40 and arrive at 38 and you are early. A good rule: never quote less than the 80th-percentile delivery time from your last month, and update the quote by text the moment the kitchen queue moves by more than 10 minutes. A chat assistant can work out the percentile from a spreadsheet export if you paste in the order and delivery times, but check the answer against a few rows by hand.
Software with dynamic ETAs, such as Onfleet's Scale tier, adjusts the estimate as drivers move. A smaller shop can approximate it by keeping a single number on the kitchen wall (the current delivery quote) and changing it at a fixed trigger, for example whenever there are more than six unassigned orders.
The three texts, with wording you can copy
Customers do not want updates for the sake of it. They want to know the order arrived, that it has a time, and that a human is on the way. Three messages cover it. Keep each under about 160 characters so it fits a single text segment (software usually bills per segment, which is why Onfleet lists $0.013 per segment), and avoid emoji, which can push a message into two segments.
1. Confirmed: Hi [first name], your order #[number] is in.
Estimated delivery: [time] ([minutes] min). Questions? Call [shop phone].
2. On its way: [first name], your pizza has left. [Driver first name]
will be with you around [time]. Track it: [link]
3. Delay (send only if more than 10 minutes late): Sorry [first name],
we're running about [minutes] minutes behind. New time: [time].
Call [shop phone] if you'd like to cancel.Here is a before-and-after to show what a chat assistant adds. A shop's old text read "Your order is on its way" with no time or link. The assistant was given the three-part promise and asked to rewrite it. Its first reply added a joke about hot cheese, which pushed the message to two segments. Trimming the joke and keeping the time, the link and the phone number gave a 148-character message. Test every template by sending it to your own phone before it goes live.
On cost, three texts per delivery across 600 deliveries is 1,800 segments a month. At Onfleet's lowest listed rate of $0.013 a segment that is $23.40; its rate card shows some countries paying two to four times as much. At that scale texting is a rounding error next to driver wages, so do not skimp on the confirmation just to save a few cents. Routific's page, by contrast, steers shops towards email and its tracker link and quotes SMS only on request, so ask for the rate before assuming texts are cheap on every platform.
Where AI genuinely helps, and where it does not
Be sceptical of any pizza delivery software that says "AI dispatch" without showing the rule it follows. What I could verify on the vendor pages was route optimisation, auto-assignment, ETA calculation and, on Routific's page, order import from AI agents through MCP (a way for an AI assistant to hand orders to the tool). That is useful, but it is mostly classic optimisation rather than a model reasoning about your kitchen.
A chat assistant such as ChatGPT or Claude earns its place in four places off the critical path:
- Writing and trimming the three texts, as above.
- Drafting a dispatch rule sheet a manager can follow on a busy night.
- Reviewing last week's late deliveries from an export you paste in.
- Answering your drivers' questions from a written policy, such as what to do when nobody answers the door.
Here is a prompt for the rule sheet, with a realistic condensed reply.
I run a single-site pizza shop with 2 own drivers and an on-demand
fleet partner for overflow. Friday peak 6-9 pm, about 18 deliveries
an hour. Delivery radius 4 miles. Write a one-page dispatch rule sheet
for the person on the pass: when to batch two orders, when to call the
fleet partner, when to update customers by text, and when to stop
accepting delivery orders. Use numbers, not adjectives.An illustrative reply gave: batch two orders only if the drops are within 1 mile of each other and both are ready within 4 minutes; call the fleet partner when more than five orders are waiting for a driver; text a delay when the quote slips by more than 10 minutes; pause delivery orders when the quote reaches 60 minutes. The thresholds are plausible, not proven for your shop. Replace each with a number from your own busiest week, then print the sheet and pin it by the pass.
Two bad nights, and what the software should have done
The rain spike. A shop normally takes 10 deliveries an hour on a Saturday. A downpour at 6 pm doubles that to 20 within 15 minutes, because nobody wants to cook or drive. The manager keeps the quote at 35 minutes for the first hour and the real time drifts to 70. Forty customers get cold pizza and ring the shop, which jams the phone and slows the next orders further. A better set-up uses a trigger: more than six orders waiting for a driver moves the quote to 55 minutes automatically and calls the fleet partner. With a tool that only sends texts, the manager sets that trigger by hand; with dynamic ETAs, the tool does it, which is the one feature worth paying a higher tier for. Pair it with a phone message that says the current wait, covered in the comparison of AI order taking and link texting.
The wrong address. A customer types the flat number into the wrong box, the driver arrives at the building and cannot find the door. The on-its-way text asked for nothing, so the customer never saw it was wrong. Add a line to the confirmation text: "Reply with the door or flat number if the address is missing it". Test that replies reach a person; many tools send from a number that cannot receive. If yours cannot, include the shop phone number instead.
A quick sum for the delay text. Say 8% of 600 monthly deliveries run more than 10 minutes late, which is 48 orders. A delay text costs one segment, about 1.3 cents at Onfleet's rate. That is 62 cents a month. If even one of those customers does not ring the shop or ask for a refund of a $4 delivery charge, the texts have paid for themselves several times over. Costs on other tools will differ, so check your own segment rate.
The delivery charge itself deserves a decision. If you charge customers close to what a fleet partner charges you, delivery is break-even and every driver you employ is a bonus. If you absorb it, remember it in your menu prices; the tutorial on delivery app commission and menu prices shows how to work it out.
Choosing by volume
These are starting points, not rules.
- Under 100 deliveries a month. Use Routific's free tier or your POS's built-in delivery with a fleet partner for overflow. Send the order-ready and on-its-way texts by hand or through the POS. The sums do not justify paid dispatch.
- 100 to 1,000 a month. Routific at $150 a month is the nearest fit among the options I could verify, with the SMS add-on quoted separately. Compare against paying a fleet partner per delivery for the same count: 600 deliveries at about $6.99 is roughly $4,190 a month, though customers may pay most of it as a delivery charge.
- 1,000 to 2,500 a month, or several shops. Onfleet's Launch plan starts to make sense around the volume where its included 2,500 deliveries are in use. Below that it is overpriced for the work.
- No drivers at all. Square's fleet-partner route or a delivery-app arrangement keeps your costs variable. See the tutorial on what a takeaway pays on delivery apps for the commission side.
Testing a tool before you commit
Run the same three checks on every shortlisted tool during its trial or free tier.
- Load a real Friday. Import or type in 20 recent orders, including two with the same address. Watch whether the batching suggestion makes sense on a map.
- Send yourself the texts. Confirm the sender name, the link, and the exact wording. A text from an unknown number with a long link looks like spam.
- Break it on purpose. Mark a driver unavailable mid-shift, add a rush order, change an address after dispatch. Note whether the customer text updates itself.
Also ask each vendor who owns the customer's phone number and whether you can export it. If you ever switch tools, a list of past customers with consent to be texted is worth more than the software.
Four ways delivery software disappoints
Pricing tied to a plan you do not need. A shop signs for the tier that includes dynamic ETAs, then uses none of them. List the features you will switch on in week one and buy only that.
Texts that name the software, not the shop. If the sender shows a vendor's brand, repeat customers think it is a scam. Check how the sender name is set.
Driver app friction. Drivers on their own phones need to install and log in quickly. Try it with your slowest driver, not your most technical.
No fallback. The software goes down at 7 pm on Friday. Keep a paper run sheet and the fleet partner's number to hand, and rehearse the switch once.
If you want to go through your own volumes and the order from kitchen to doorstep with someone, that is what my AI implementation consultation covers; it starts on the contact page.
Questions pizza shop owners ask about delivery software
Can ChatGPT or Claude dispatch my drivers live?
Not reliably. A chat assistant has no view of your drivers' positions or your kitchen queue, so it cannot assign a run in real time. Use it to write your dispatch rules, text templates and end-of-week reviews, and let delivery software or a person make the live call.
Do customers need an app to follow their pizza?
No. Most tools send a text with a tracking link that opens in the phone's browser. Check that the link works without a login and that your shop's name, not the software's, shows in the message.
How many texts should one delivery send?
Three is plenty: order confirmed with a time, driver on the way with a link, and a delay notice only when you are late. More than that trains customers to ignore your messages and raises your per-text bill.
Is a third-party fleet cheaper than my own drivers?
Rarely on cost per delivery, but it removes wages, insurance and idle time on slow nights. Many shops keep two own drivers for the usual load and call a fleet only when the queue passes a set number of orders.
Further reads
- AI for Restaurant Order Management: One Queue for Every Channel — Pulls phone, web and app orders into one kitchen queue.
- AI in Logistics for Small Delivery Firms: Routes, ETAs and Messages — Covers routes, ETAs and messages for small delivery firms.
- AI Route Planning for Small Delivery Fleets and Mobile Teams — Explains route planning for fleets beyond the pizza round.
- Cutting Parcel-Tracking Calls With AI Delivery Updates — Shows how automatic updates cut where-is-it calls.
- Takeaway EPOS Systems Compared: Which AI Features Matter — Compares takeaway tills whose delivery features you may already have.
- Pizza Shop Inventory: Plan Dough and Toppings From Weekend Orders — Plans dough and toppings from the same weekend orders.
- Pizza Shop Marketing: Fill Slow Nights With AI-Written Offers — Fills the slow nights so drivers stay busy.
- AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.
Sources: Square for Restaurants pricing page and its on-demand delivery pricing policy (updated March 2026), Onfleet pricing page, Routific pricing page, all read in October 2026; Tookan figures not verified.