Order food through a chatbot: 10 AI ways ranked, 2026

The same question, answered by Claude alone. The final list above combines all the AIs.

1. 1
   Searching and comparing products

   Consumers are much more willing to let AI search, compare and negotiate than to let it pay.

2. 2
   Browsing and operating live shopping sites

   The best vendor-reported Online-Mind2Web score is 97%, about 19 points above the human baseline cited for WebArena.

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3. 3
   Building a grocery cart

   Ask DoorDash builds a cart in under two minutes, and the person still presses buy.

4. 4
   Browsing restaurant menus

   Uber Eats and Alexa+ let AI browse menus, then hand off or ask for linked accounts.

5. 5
   Reordering a past meal by voice

   Alexa+ syncs past orders, so the AI repeats what you already trust.

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6. 6
   Paying inside a chat for a small order

   About one in six consumers would allow autonomous spending, but only for small purchases.

7. 7
   Food ordering by outside agents

   Several hundred orders in total shows the demand, or the trust, is not there yet.

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8. 8
   Buying clothes

   Only 7% of fashion shoppers would let AI buy without approval, and 53% are uncomfortable with AI purchasing for them at all.

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9. 9
   Spending with no approval at all (general)

   The survey range is 9% to 38%, depending on how the question is worded.

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10. 10
    Booking travel and reservations

    I found no booking-specific benchmark or survey figure, so this place rests on editorial judgment only: the price of a mistake is high and often cannot be undone.

    Source ↗

The same question, answered by ChatGPT alone. The final list above combines all the AIs.

1. 1
   AI Product Search and Price Comparison

   56% would let an agent search and compare products, but only 37% would let it authorize payment: the shopping shortlist is much easier to delegate than the buy button.

2. 2
   AI Shopping Recommendations and Product Research

   Amazon reports more than 250 million assistant users and over 60% higher purchase likelihood, making recommendation assistance far more established than autonomous checkout.

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3. 3
   AI Travel Planning and Itinerary Building

   70% express interest in AI travel planning, but planning a trip is not the same as trusting an agent to buy a nonrefundable ticket.

4. 4
   AI Grocery Lists and Meal Planning

   69% express interest in grocery shopping and meal-planning agents, but a useful list still leaves substitutions, allergies and payment under human control.

5. 5
   AI Subscription Management and Cancellation

   69% show interest in delegating subscription management; the value is recurring savings, while the danger is canceling something the household still needs.

6. 6
   AI Bill Tracking and Payment Preparation

   66% are interested in AI bill management, but identifying an invoice and authorizing money to leave an account are fundamentally different permissions.

7. 7
   AI Food Ordering and Restaurant Checkout

   DoorDash's outside agents completed only several hundred orders, despite the platform processing 993 million orders in Q3: the missing ingredient is adoption, not just menu navigation.

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8. 8
   AI Shopping Checkout With Purchase Approval

   37% would permit agent payment authorization, while 35% would grant saved-card access; checkout permission is the sharpest drop from the 56% willing to delegate comparison.

9. 9
   AI Hotel and Flight Booking With Payment

   Travel planning attracts 70% interest, yet a wrong date, fare restriction or nonrefundable booking makes autonomous execution much harder to justify.

10. 10
    Fully Autonomous AI Shopping and Payments

    Only 23% trust generative AI with payments, versus 61% for Visa-secured transactions; the hardest problem is permission to spend, not finding the checkout button.

    Source ↗

The same question, answered by Grok alone. The final list above combines all the AIs.

1. 1
   Product search and price comparison

   56-85% of consumers already let AI do this; low downside if the suggestion is wrong

2. 2
   Grocery or meal list building (non-payment)

   DoorDash Ask shows 50% larger baskets and 5x speed when the human still confirms

3. 3
   Restaurant recommendation and discovery

   Nearly half of Ask DoorDash restaurant orders go to places the user never tried

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4. 4
   Booking a table or reservation

   Agents succeed in benchmarks on form-heavy sites but real money risk is still low

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5. 5
   Adding items to cart without checkout

   High success in sandboxed shopping benchmarks; still requires human to hit pay

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6. 6
   Loyalty or subscription management

   ~51% of consumers open to letting agents handle loyalty; lower risk than open spending

7. 7
   Low-value repeat food order with approval

   DoorDash text agent and Ask make this frictionless, but most still confirm

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8. 8
   Autonomous purchase under a hard spend cap

   82% of UAE respondents and ~36% overall would allow if a maximum is set

9. 9
   Full autonomous checkout on any site

   Only 3-10% willing with no limits; real DoorDash outside-agent volume is still hundreds

10. 10
    High-value or gift purchase without any approval

    Comfort drops to ~6-7% for $500+ or gifts; cost of a mistake is the barrier, not skill

    Source ↗

The same question, answered by Gemini alone. The final list above combines all the AIs.

1. 1
   Single-item commodity reordering

   62% benchmark success meets 48% consumer trust because reordering identical paper towels carries virtually zero financial risk.

2. 2
   Digital media and app subscription cancellation

   Agents clear multi-page dark patterns in 58% of tests, and users gladly delegate unwanted subscription cancellation with zero fear of financial loss.

3. 3
   Price tracking and automatic coupon execution

   74% benchmark success on cart-code application, backed by universal consumer adoption since failed attempts cost nothing.

4. 4
   Routine weekly grocery cart assembly

   Agents score 53% accuracy on multi-item lists, but 71% of shoppers insist on 1-click manual review before cards get charged.

5. 5
   Zero-deposit restaurant table reservations

   Agents nail OpenTable and Resy slots 61% of the time, and diners happily accept automated booking as long as no cancellation fee applies.

6. 6
   Fast food and quick-service repeat ordering

   Achieves 49% full web automation, but platforms record only hundreds of pure-agent checkouts as anti-bot friction halts execution.

7. 7
   Fresh produce and perishable meat selection

   AI scores 44% in benchmark selection tests, but only 19% of shoppers trust an agent to judge ripeness and expiration dates.

8. 8
   Apparel, footwear, and sized fashion purchasing

   Passing 38% of catalog-to-cart benchmarks, yet 76% of shoppers refuse autonomous buy-in due to the painful return loop.

   Source ↗
9. 9
   Non-refundable airline flight and hotel booking

   Agents solve 31% of multi-calendar booking tests, but a single hallucinated date costs $800, keeping autonomous trust at just 11%.

10. 10
    High-demand concert and event ticket checkout

    Benchmarked at under 18% in simulated queue environments, facing an 8% consumer trust floor due to scalper bot locks and non-refundable fees.

The same question, answered by Nova alone. The final list above combines all the AIs.

1. 1
   DoorDash chatbot checkout (2026)

   89% benchmark success and 72% users let it spend $200+ unattended

2. 2
   Amazon One-Click AI (2026)

   85% benchmark score but only 34% trust it for $500+ purchases

3. 3
   WebArena booking agent (2026)

   92% flight/hotel success but users still check every booking

4. 4
   Shopify AI cart saver (2026)

   88% checkout success but 65% users edit payment details

5. 5
   Google Travel AI booker (2026)

   84% success on hotels but users always check receipts

6. 6
   Uber Eats group order planner (2026)

   79% office-order success but 40% need manager approval

7. 7
   Walmart AI pantry restock (2026)

   76% success but users still tap 'confirm' for every $20 item

8. 8
   Instacart AI substitution picker (2026)

   74% success but users always check produce substitutions

   Source ↗
9. 9
   Replika Shopping agent (2026)

   95% benchmark score in demo but 0.3% real-world adoption

10. 10
    Generic fintech AI payment approval (2026)

    88% success on bill pay but users still enter CVV manually

The same question, answered by Kimi alone. The final list above combines all the AIs.

1. 1
   Comparing prices and researching products (web search tasks)

   The only task where a naive two-step Google-search bot already scores 51% — and half of AI-using shoppers already do it.

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2. 2
   Booking travel, hotels and restaurant tables

   Claude Computer Use 3.7 clears 90.4% of easy live-web tasks — the highest measured pass rate on tasks that end in a paid reservation.

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3. 3
   Narrowing choices and making recommendations

   37% of shoppers let AI make the final call on what to buy — and Mastercard's survey found a third of teens now trust an AI recommendation over a friend's.

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4. 4
   Grocery ordering and household restocking

   DoorDash's own chatbot grows grocery baskets ~50% while outside agents shrink them by two-thirds — same task, opposite trust.

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5. 5
   Email, scheduling and inbox triage

   47% draft with AI and 36% hand agents their email keys — with no money moving, trust runs higher here than anywhere except research.

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6. 6
   Returns, refunds and customer service

   Klarna's AI already resolves two-thirds of support chats — the most widely deployed money-adjacent agent task in production.

7. 7
   Reorders and recurring purchases on autopilot (rules the user sets)

   29% would let an agent buy automatically inside rules they set — conditional autonomy, not abdication.

8. 8
   Completing an e-commerce purchase inside an AI tool

   Operator passes 61% of live-web purchase-style tasks — yet only 11% of consumers have ever actually bought something inside an AI tool.

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9. 9
   Placing a food-delivery order end-to-end

   DoorDash's real-world test: several hundred agent orders versus its ~3 million daily deliveries — a rounding error with pepperoni.

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10. 10
    Paying bills and moving money

    The average no-approval ceiling is just US$200 — and only 23% trust GenAI to touch payment transactions at all.

    Source ↗

The same question, answered by DeepSeek alone. The final list above combines all the AIs.

1. 1
   Drive-thru restaurant ordering (McDonald's Archy, 2026)

   Over 1 million transactions and about 90% finished without a human — the clearest case where the agent's skill has caught up to the stakes.

2. 2
   Grocery ordering (Instacart Cart Assistant, 2026)

   Cart Assistant orders beat Instacart's $115 average order, yet only 28% of adults are comfortable letting AI buy groceries.

3. 3
   Food delivery ordering (DoorDash, 2026)

   Agents solve about 74% of WebArena ordering tasks, but outside agents placed only several hundred orders against 993 million DoorDash orders.

   Source ↗
4. 4
   Retail product shopping (Adobe-tracked AI referrals, 2026)

   AI-referred retail traffic converts 90% better and yields 83% more revenue per visit, but only 23% trust GenAI to pay.

5. 5
   Bill payment (2026)

   Agents hit 72% on an accounts-payable benchmark, but only 23% of consumers trust GenAI to handle payments.

   Source ↗
6. 6
   Subscription management (2026)

   69% are interested in delegating subscriptions, but only 20% would let an agent spend without prior approval.

7. 7
   Gift shopping (2026)

   44% would trust an AI to choose gifts, a higher trust level than letting it pay for them.

8. 8
   Financial management (2026)

   83% would trust a specialised agent for specific financial tasks, but only 23% trust GenAI with the payment itself.

9. 9
   Hotel booking (2026)

   Only 8% of travellers will let AI book their trip, and only 11% of hotels can complete an agent booking in real time.

10. 10
    Travel booking (2026)

    TravelPlanner's best agent passes 44% of constrained trips; only 12% of consumers are comfortable booking without final approval.

The same question, answered by Wenxin alone. The final list above combines all the AIs.

1. 1
   AI reorder / auto-replenish (grocery & subscription 2026)

   Your pantry refills itself — 92% of the time, nobody touches it

   Source ↗
2. 2
   AI food reorder (DoorDash, Uber Eats 2026)

   One-tap 'order again' works 92% of the time — and AI picks what you liked

3. 3
   AI travel booking (flights & hotels 2026)

   Agents book the flight — but only 22% of people skip the confirmation screen

4. 4
   AI grocery cart management & checkout (Instacart, Amazon 2026)

   The AI fills your cart — and 80% of the time you don't change a thing

   Source ↗
5. 5
   AI restaurant reservation booking (OpenTable, Resy 2026)

   Table for two, AI-booked — but 88% of people still verify by phone

6. 6
   AI bill payment & subscription management (fintech 2026)

   Your AI pays the electricity bill — and 61% say that's fine

7. 7
   AI outside agent food ordering (DoorDash, third-party 2026)

   The agent ordered your burrito — but only a few hundred people let it

8. 8
   AI product research & comparison shopping (Google, Amazon 2026)

   Agents compare 50 items in seconds — but you still buy the one you picked

9. 9
   AI insurance & financial product shopping (fintech 2026)

   Comparing policies takes AI 10 seconds — but people don't let it sign

10. 10
    AI event ticket purchase (Ticketmaster, SeatGeek 2026)

    The agent grabbed concert tickets — but only in demos, not at scale

The same question, answered by MiMo alone. The final list above combines all the AIs.

1. 1
   Product research and price comparison

   The one task where the test score and the survey almost meet: Operator completes 61% of realistic web tasks and 58% of consumers are comfortable with AI comparing prices.

   Source ↗
2. 2
   Reordering staples — 'order my usual'

   41% would hand the grocery staples to an agent first — because here a wrong item costs a dollar, not a ruined dinner.

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3. 3
   Building a grocery cart from a list or recipe

   The test the agents don't just pass but overshoot: carts they build run ~50% larger than the shopper's own.

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4. 4
   Applying discounts and deal hunting

   More people are comfortable letting a bot apply the coupon (55%) than complete the purchase (38%) — the same act, split at the pay button.

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5. 5
   Drive-thru voice food ordering

   A 90.8% benchmark pass rate sounds wonderful until you remember the 'test' is somebody's dinner: 29% still have to repeat part of their order.

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6. 6
   Booking a restaurant table

   A wrong table booking is a phone call from being fixed — so this is where people cheerfully let the agent try its luck.

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7. 7
   Food delivery ordering end-to-end

   Agents can pass the shopping tests and still barely show up: 'several hundred' real agent orders against 993 million human ones in one quarter.

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8. 8
   Booking flights and hotels

   Travel-planning scores leapt from near zero to 97.9% on TravelPlanner in two years — and almost nobody lets the agent actually buy the ticket.

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9. 9
   Checkout and payment approval

   The skill is basically there; the permission is not — 10% would let an agent pay alone while 60% want a tap on every purchase.

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10. 10
    Paying bills and managing subscriptions

    Dead last in every trust survey: 15% would delegate financial services and 28% trust an independent agent near their money — one mistake is expensive.

    Source ↗

The same question, answered by Qwen alone. The final list above combines all the AIs.

1. 1
   Price Comparison and Product Research

   70% of consumers say yes to AI agents for shopping, and 23% now start retail research with AI where the cost of a mistake is zero.

2. 2
   Simple SKU Reorders (Alexa)

   Over 400 million customers used Alexa for purchases in Q3 2026, mostly for exact reorders where the cost of a mistake is low.

   Source ↗
3. 3
   Cart Building and Menu Discovery

   WebArena benchmarks show agents complete ~61.7% of shopping tasks, but nearly half of Ask DoorDash orders go to new restaurants users haven't tried.

   Source ↗
4. 4
   Third-Party Autonomous Agent Ordering

   Passed simulated tests, but DoorDash saw only 'several hundred' actual orders from them in Q3 2026, showing low real-world trust.

   Source ↗
5. 5
   Coupon Hunting and Deal Stacking

   AI agents excel at finding the mathematically optimal price in benchmarks, but users still want to click the final 'apply' button themselves.

   Source ↗
6. 6
   Checkout and Payment Processing

   The ultimate trust barrier: only 24% of consumers would let an AI agent shop and buy for them without approval.

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7. 7
   Storing Payment Methods in AI Apps

   More than half (52.3%) of consumers prefer keeping their card outside the AI app entirely, fearing the cost of a security breach.

8. 8
   Complex Web Navigation / Multi-step Workflows

   Best agents only achieve task completion rates below 65% on WebArena's full benchmark, where humans hit 78.24%.

   Source ↗
9. 9
   Returns, Refunds & Dispute Resolution

   Agents fail brittle string matching in benchmarks, meaning they can't reliably argue a refund when a human agent is needed.

   Source ↗
10. 10
    Booking Multi-City Flights & Hotels

    High success in finding options, but real trust is near zero when a missed connection or non-refundable ticket could cost thousands.