Reducing POS Errors

wantsushi.ru • E-commerce

Overview

Improved order reliability and restaurant operations by replacing free-text delivery addresses with a structured, POS-friendly input system that prevented errors before they reached operators.

Product: Wantsushi — food delivery app (iOS, Android, Web)

Users: Customers placing orders, restaurant staff processing them in the back office

Stack: Integrated with iiko POS/RMS

Role: Product Designer

The Problem

Customers entered delivery addresses as free text.

During busy hours, this created real operational friction:

inconsistent formats (“apt 5”, “#5”, landmarks, typos, weird naming of allotments)
slow manual interpretation by operators
POS/GIS sync failures
clarification calls to customers
delayed order fulfillment

My Role

Led the UX redesign of the checkout address flow and worked closely with operators and engineers to make order data reliable and machine-readable.

Approach

reviewed operator feedback and support issues
observed how orders were processed during peak times
identified time wasted interpreting and correcting addresses

Solution

Replaced the free-text field with a structured, searchable address selector:

autocomplete with suggestions
standardized formatting
selectable saved addresses
validation before submission
POS/GIS-compatible data structure

This ensured clean data before it reached operations or the POS.

Outcome / Impact

fewer clarification calls
reduced POS/GIS sync errors
faster order processing
more consistent customer data
less cognitive load for staff
much easier for users to use autocomplete to find their address.