POS | Custom Website | Phone
Take orders twice as fast.1
Slice Register, our easy-to-use POS centralizes your online, in-store, and phone orders into a single, powerful interface.
Integrate DoorDash, Grubhub, & 30+ more
Reduce order errors by 63% 2
Built specifically for pizzerias
Easy to learn
All of your orders in one system.
Slice Register integrates with your website, as well as Uber Eats, DoorDash, and 30+ more delivery apps. This puts all of your orders in one place.
Become a pro in minutes.
Slice Register’s intuitive iPad-based interface is easy to learn and master. It comes with everything you need and nothing you don’t.
Highlights include:
Best-in-class pizza customizations
Caller ID
Real-time delivery management
Customer facing tipping
Own all of your customer data.
Slice gives you anytime access to your customers and uses automated marketing to keep them engaged.
Reduce errors by 63%.2
Slice digitizes your order tickets letting you cut back on expensive order mistakes.
Battle-tested hardware.
Slice Register includes:
Reliable iPad interface
Receipt printer
Kitchen printer
Credit card terminal
Cash drawer
Router
Every aspect of your shop is centralized in a powerful system, giving you complete visibility into your business.
“I wanted a company that was a one-stop shop, that understood the business. Slice — out of any company — is that company.”
— JERRY, OWNER OF PRIMA PIZZA KITCHEN
Start taking orders twice as fast.1
Integrate DoorDash, Grubhub, and 30+ more
Reduce order errors by 63% 2
Built for pizzerias
Slice’s integrated system works better together.
Sell your FOOD
Double your ticket size.4
MARKET TO CUSTOMERS
Bring in 50% more reorders.3
RUN YOUR SHOP
Take orders twice as fast.1
GAIN RESOURCES
Get surrounded with support.
1 Based on Slice average order confirmation time comparing Register to phone orders.
2 Based on Slice's order defect rate data comparing Register to phone orders.
3 Based on Slice data comparing a customer group receiving loyalty marketing versus those who do not.
4 Based on Slice data comparing average order volume between offline and online orders.