PepsiCo

Innovating touchless ordering for a healthier world

First-of-its-kind touchless kiosk

Seeking an innovative and hygienic upgrade to the ordering process

  • Challenge

    Translating hand gestures into reliable, readable intent, and designing an interface that users would find intuitive to operate.

  • Solution

    Developing and testing the kiosk both in a controlled lab environment and a real KFC restaurant.

An easy, intuitive, fast, and safe experience that boosted sales and satisfaction

  • The results

    Customers not only enjoyed using these innovative kiosks – they spent even more per order compared to other ordering methods.

    The new kiosk sold a higher amount of food and an equal proportion of beverages compared to standard touch kiosks in the restaurant. It was popular with early adopters, including Gen Z and Millennials. 75% of users said they would recommend the touchless kiosk to a friend and 85% of users said they would use it in the future, demonstrating an affinity for the new experience.

“What we’re doing is to develop applications and experiences that are delightful, helpful and transformative.”

Mia Sorgi, Director of Digital Product & Experience, PepsiCo Europe

A phased approach for fast results and long-term success

  • Lorem Ipsum

    Touchless screens are competent at recognizing that there’s a human hand in front of them. However, our particular use case required more nuanced gesture recognition, turning them into reliable, readable intentions. 

     

    Beyond selecting items, we needed to empower customers to explore menus, select and customize options, and finalize their orders, all without touching the screen. Customers also needed to intuitively understand what to do with their hands to place their orders effortlessly – and have a delightful experience along the way.

  • Creating the kiosk

    To address the first challenge of gesture recognition, we deepened our technological understanding of the opportunities that touchless screens offer. We experimented and researched a variety of interaction scenarios to develop an advanced model.

     

    We then took an existing kiosk form factor and applied this to our model, building a prototype in Unity, the world’s leading platform for creating and operating interactive, real-time 3D (RT3D) content.

     

    Before field-testing the prototype at a KFC in Europe, we also needed to understand the typical customer journey. Combining camera and LiDAR data, we created a 1:1 scale CAD model of the restaurant to identify high-priority touchpoints and the optimum location for the kiosk.

     

    In parallel, we integrated the prototype with the restaurant’s content management system (CMS) and point-of-sale (POS) systems, built the hardware kiosk, and developed the user interface (UI) flow to support ordering from the full menu.

  • Multi-faceted, multi-location user testing

    Our team first tested the experience with KFC customers in a controlled lab environment to identify any issues with the interaction model and interface, iteratively refining the prototype as we went.

     

    In our first iteration, we implemented body tracking to increase the stability and robustness of the kiosk interaction. We learned that customers wanted to interact with the kiosk the same way they might use a touchscreen due to their previous experiences.

     

    Next, we updated the model to reflect this insight and lean into customers’ expectations. Re-testing resulted in significant improvement in customer satisfaction.

     

    During our final lab session, we tested different onboarding strategies to expedite customers’ familiarity and comfort with the experience. We then ran a nine-day field test at a KFC in Poland, allowing real customers to interact with the experience.

  • Turning data into decisions

    To understand the results of this research phase, we combined qualitative observations and quantitative surveys, leading to a deeper understanding of how users respond to the kiosk in context and greater insights into their experience.

     

    We also incorporated interaction and transactional data analysis. This allowed us to understand how customers physically interacted with the kiosk, helped compare basket size, and understand the breakdown of transactions by food and beverage across all the location’s kiosks (touchscreen and touchless) and the counter.

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