AI Order Taking Agent

The AI order taking agent is a pre-built Sawy template that takes customer orders over the phone — handling product selection, customizations, upsells, order confirmation, and payment processing. It sends completed orders directly to your kitchen, warehouse, or fulfillment system, turning every phone call into a captured sale.

Phone orders remain a major revenue channel for restaurants, bakeries, catering companies, and retail businesses. But staffing a dedicated order line is expensive, and making customers wait during busy periods loses sales. This template handles unlimited simultaneous orders without any caller ever hearing a busy signal.

Template vs. building from scratch

| Decision factor | Use this template | Build custom | |---|---|---| | You match the role profile cleanly | Use template | — | | Your call mix is unusual or vertical-specific | Partial | Lean toward custom | | You need to launch in days, not weeks | Use template | — | | You have engineering bandwidth for tuning | Either | Custom may pay off | | You're testing the concept | Use template | Don't over-invest |

What This Template Does

The AI guides callers through your product or menu catalog, captures their order with full customization, and processes it — fast, accurate, and friendly.

Sample Conversation

AI: "Thanks for calling Marco's Pizza. This is Nico. What can I get for you tonight?"

Caller: "I'd like a large pepperoni pizza."

AI: "Great choice. Would you like the classic hand-tossed crust, thin crust, or stuffed crust?"

Caller: "Stuffed crust."

AI: "Perfect — large pepperoni with stuffed crust. Want to add a side? Our garlic knots are a popular choice, and we're running a deal on a two-liter soda with any large pizza for $2."

Caller: "Sure, add the garlic knots and a Coke."

AI: "You got it. So that's a large stuffed crust pepperoni, garlic knots, and a two-liter Coke. Your total comes to $24.47. Would you like pickup or delivery?"

Caller: "Pickup."

AI: "Your order will be ready in about 25 minutes. Can I get a name?"

Caller: "Jason."

AI: "All set, Jason. Your order is in and will be ready for pickup in 25 minutes. Anything else?"

Order captured, upsell landed, total confirmed, and the kitchen is already making the pizza.

Key Features

Integrations Included

• Toast / Square POS — order entry, menu data, kitchen display sync
• Shopify — product catalog and order creation for retail
• ChowNow / DoorDash Drive — delivery order routing
• Stripe / Square Payments — secure phone payment processing
• Google Sheets / Airtable — order logging for businesses without POS
• SMS — order confirmation texts with pickup/delivery details
• Zapier / Make — connect to any fulfillment, inventory, or notification system

Setup in 3 Steps

1. Select the template — Choose Templates → Order Taker from your Sawy dashboard. This loads the order-taking conversation flow, menu navigation, and payment processing.
2. Customize your catalog — Upload your menu or product list with pricing, options, and modifications. Configure upsell rules, delivery zones, and estimated prep times. Connect your POS or order management system.
3. Go live — Forward your order line and place a test order. Add customizations, accept the upsell, and verify the order appears in your POS or kitchen display.

Who It's For

• Restaurants and pizzerias taking phone-in orders for pickup and delivery
• Bakeries and catering companies handling custom order requests
• Retail stores processing phone orders for products
• Food trucks taking pre-orders for pickup at specific locations and times
• Wholesale distributors processing reorders from regular customers

Can it handle complex menu modifications?

Yes. The AI understands nested modifications — "large pepperoni, no olives, extra cheese, light sauce, well done." Each modification is captured and sent to your kitchen or fulfillment system accurately.

Does it handle delivery orders?

Yes. For delivery, the AI collects the delivery address, validates it's within your delivery zone, adds any delivery fee, and provides an estimated delivery time.

Can returning customers reorder their last order?

When connected to your POS or order system, the AI can look up a caller's order history and offer a quick reorder: "Would you like the same order as last time — a large pepperoni with garlic knots?"

A Second Sample Call — Large Catering Order with Allergens

A different order shape this template needs to handle: a high-value catering order with dietary restrictions, where one missed substitution causes a serious problem.

AI: "Marco's Pizza, this is Nico. What can I get for you?"

Caller: "Hi, I need to order lunch for an office meeting tomorrow. Twelve people."

AI: "Happy to help — for tomorrow's office order, what time do you need it delivered or picked up?"

Caller: "Delivered by 11:45 to 200 Mission, suite 410."

AI: "Got it — Mission and 200 is in our delivery zone, and 11:45 works for our kitchen. For twelve people, I'd suggest three large pizzas and a couple of salads. Any dietary restrictions I should know about?"

Caller: "Yeah, one person is gluten-free, and one has a tree-nut allergy."

AI: "Important — let me flag both for the kitchen. For the gluten-free guest, I'd recommend a small gluten-free pepperoni for $14, prepared on a separate surface. For the tree-nut allergy: our pesto contains pine nuts, so we'll exclude it from the meeting entirely. Our standard pizzas, salads, and dressings are tree-nut free. Sound good?"

Caller: "Perfect."

AI: "Final order: one large pepperoni, one large four-cheese, one large veggie supreme, one small gluten-free pepperoni — prep-isolated — one large house salad with vinaigrette on the side, and one large Caesar with dressing on the side. No pesto-based items in the order. Subtotal $87.40, delivery fee $5, total $92.40 plus tip. Want me to add drinks?"

Caller: "Add a 2-liter Coke."

AI: "Done — final total $94.45. I'll text you a confirmation with the allergen flags so you can forward it to the gluten-free and nut-allergy guests if they want to verify. Card on file or new payment?"

The AI confirmed delivery feasibility, escalated allergen handling without minimizing it (separate prep surface, pesto exclusion), summarized the order with allergen tags rather than just items, and sent confirmation in a form the caller can forward to the actual affected guests for verification. The kitchen ticket prints with red allergen flags at the top.

Order-Taker-Specific Tuning Tips

Three tuning decisions that matter more for phone ordering than for other agent types:

1. Allergen handling is a separate workflow, not a modification. Don't treat "no nuts" as just another modifier in the order. Configure a distinct allergen workflow that surfaces a confirmation step ("Just to confirm: tree-nut allergy means we'll prep this on a clean surface and exclude pesto entirely — is that right?"), prints allergen tags at the top of the kitchen ticket in a different color, and adds the allergen to the customer's profile for future orders. Treating allergens like toppings causes the worst kind of restaurant incident.
2. Upsell suggestions tuned to time-of-day, not just margin. A "would you like to add garlic knots?" works at 7 p.m. on a Friday. The same offer at 11:30 a.m. for a single-person lunch order feels desperate and slows the call. Configure upsells by daypart — lunch should suggest drinks and a single side; dinner can suggest appetizers and family-style sides; late night should skip upsells entirely and prioritize speed.
3. Cap the menu walk-throughs. A first-time caller asking "what do you have?" is a flow-killer if the agent reads the full menu. Configure the agent to recommend three best-sellers in 15 seconds ("Our top three are the pepperoni, the four-cheese, and the veggie supreme — any of those sound good, or do you want me to text you the full menu?") and only walk the catalog when the caller specifically asks.

When Not to Use This Template

This template is wrong for full-service restaurants where the phone is primarily for reservations rather than orders (use the Restaurant Host template instead). It's also wrong for fine-dining establishments where the calling experience is part of the brand — guests expect a human voice for a $300 tasting-menu reservation, not an AI for an $80 takeout order. Finally, it's wrong for businesses with menus that change daily or seasonally without integration to a central catalog: the agent needs a connected source of truth, not a PDF emailed to the manager every week.