Reimagining the path-to-purchase experience to improve the in-store shopping experience
Team
2 UX Designers
4 Product Managers
4 Developers
My Role
UX/UI Design
Research
Prototyping
Industry
FMCG
Duration
1 week
The challenge
In-store grocery shopping has declined as a result of the pandemic
Understanding the Problem
The grocery retail industry has experienced a huge shift in innovation over the last 10 years, from online shopping to self-checkouts to check-out free stores.
The recent pandemic has transformed the way industries operate as a result in supply-chains, strategic shifts and most significantly, human attitudes and behaviours.
The value of in-store retail
Discovery
Along with another UX Designer, we sought to understand the existing experience when shopping in store, customer pain-points and the competitor landscape.
Based on assumptions, we generated a user persona and carried out auto-ethnographic research to better understand specific user needs. We then conducted semi-structured interviews with a couple of colleagues who match the archetype of our target user to capture deeper insights.
Key insights
How might we…
HMW improve path to purchase efficiency when shopping in store by utilising customer’s list data?
HMW personalise the exposure to offers and deals to customers using past-purchase patterns?
HMW support customers when shopping in-store without relying on shop floor assistants?
Design process
I helped to facilitate a crazy eights session to generate initial ideas before moving onto concept development. We discussed and voted on these concepts before moving into the concept development stage, thinking about identified pain points, opportunities for innovation and elevating data to enhance customer experiences.
User flows & journeys
It was important to understand how the four key journeys were going to intertwine with each other. Iterating on this helped to bring clarity in the core functionality of each screen when designing the experience of the interfaces themselves.
Outcome
Talk to Tesco fuses automation, personalisation and navigation to bring an all-in-one personal assistant right into the Tesco app.
It optimises the in-store experience by calculating the quickest path using shopping list data, sign-posting to personalised deals and providing meaningful support right from the customer’s pocket.
Smart Lists
Automates the list creation process by using purchase history and identifying shopping patterns to generate editable lists. Factors include frequency of purchase, seasonal factors and the interests of similar shoppers.
Smart Navigation
A smart navigation feature which calculates the fastest route in a store based on products in a selected list. Customers can easily view and edit their list, and see personalised, location-based offers.
AR Product Finder
Uses AI-powered image recognition to single out a desired product on the shelf. It also signals to alternatives on offer within close proximity to aid decision-making.
Voice Assistant
A voice activated assistant designed to help answer typical in-store queries including location of items, allergen information, recommended alternatives and product pairings.

Validation
We visited the Tesco GetGo store in Holborn to prototype our idea with real users and get feedback on the concept.
“This would definitely cut my shopping time down, especially in bigger stores”
“It’s quite easy to understand , I’d use it if it was a real app”
“…I guess my main concern is if everyone is stuck to their phones when you’re trying to walk around”