• Say hello to the new face of CX.

  • Think about your store; your restaurant; your retail space.
    Now, imagine everything you see becoming data.

    ​That's exactly what our AI video technology does: it identifies each and every human activity, and subsequently turns it into data.


    Never before has this data on human behavior & patterns been available, and it's changing how some of the world's leading brands are capturing and improving their customer experience.


    With our technology, retail and restaurants now have a highly effective solution for unlocking and measuring true guest experiences, capturing behavioral KPIs that have been notoriously hard to track.

  • (Make) More money, less problems.

    Did you maximize the revenue potential from the customers in your store last week?

    Baby steps into strides.

    How might a seemingly incremental change take seconds off of a single plate, but save minutes per hour and hours per week?

    Turn those customers back around.

    How much time do people spend comparing and shopping, versus deciding to purchase or walking out empty-handed? 

    Like Undercover Boss, but better.

    Are your locations adhering to sustainability or keeping up with cleanliness practices? 

    Less hassle, better knowledge.

    In what ways are menus or kiosks working to your revenue's advantage? 

  • Trusted by the world's largest brands.

    Some of our partners
  • Get in touch and let's explore how Lifestream's CX video understanding can help your business.

  • Welcome to the power of observation.

  • Capturing the true customer experience with video AI.

  • Our Customer Experience Propositions

    With data extracted from video, see the entire picture of your store (pun intended) and not just snapshots of data from registers and at counters.  Our video AI unlocks the real customer experience, and adds life to data. 

    While many of our clients come to us with different objectives, they tend to be in the four following categories:



    Measuring & identifying the impact that changes have on customer experience.


    Example metrics:

    • Throughput touchpoints & pain-points
    • Store design & performance
    • Systematic store changes

    Performance Management

    Ongoing tracking of operational performance information



    Example metrics:

      • Conversion rates & queue times
      • Wayfinding & menu/kiosk interaction
      • Staff Interaction & coaching opps.


      Evaluating adherence and performance related to operational standards.


      Example metrics:

        • Sustainability; cleanliness
        • Front & back of house movement
        • Ongoing performance tracking

        Bespoke analytics

        Testing out business hypothesis; exploring situational learnings.



        Example topics:

        • ‘Seasonal display’ performance
        • Intentional store mapping & directions
        • Installations & experiential usage

        The Ask

        Our client developed a new restaurant concept designed to increase efficiency and reduce costs.


        But how did it work in practice?



        • What impact did it have on revenue?
        • Did customers prefer the new concept?
        • What opportunities were there to enhance profitability?


        Pre, Post & Ongoing Tracking

        • 2 low profile cameras installed

        • Baseline behavioral data captured 2 weeks prior to store refurbishment.

        • Initial impact data captured 2 weeks after re-opening.

        • 1,400 customer journeys tracked.

        • A continual tracking program initiated to track optimizations, adaptations and long term performance.


        Tangible ROI

        Robust behavioral data enabled an accurate cost-benefit analysis by quantifying:

        • A 23% increase to the customer journey duration
        • A $506,000 sales deficit compared to the previous model
        • Continuous identification of optimization opportunities
      • Navigating Pain Points with Video AI

        Our QSR client aimed to understand how people move about their space, and those pathways through the storefront. They were curious to see how much much time was spent in the ordering process, and how how that converts to revenue.


        Here's what we found: data from our video analytics showed that

        • Up to 16% of restaurant visitors fail to make a single purchase.
        • More than 50% of customer confusion with new technology (like self serve kiosks) require crew interaction.

        This results in annual sales gaps as high as $500,000 - just in a single location.


        And, despite all their best efforts to make the customer experience as pleasing, pain-free and profitable as possible - the current store made navigation frustrating and costly.


      • Interested?

      • Client Feedback

        ”Your data highlighted that some elements of the customer journey now take longer than they did in the original restaurant which disproves with real behavioural data what customers had told us in the satisfaction survey.
        That was the jackpot moment for me.- Global Fast Food Chain, Insights Manager

        "Working with Lifestream for the FSA made the previously impossible task of unobtrusively watching kitchen behaviours possible. Lifestream continually adapted to the study's needs - creating a new workflow to capture video in kitchens without wifi for example, and ensuring that data transmission was secure. They were also able to adapt the dataset to specifically fit the behavioural framework we created for the FSA along with a team of academics. Right now, we're still working with the data - via a dashboard and platform that makes it easy for us to find, quantify and re-watch behaviours we're interested in." - Darren Bhattachary, CEO, Basis Social

        "The unique thing about the data from Lifestream is that is coming directly from unfiltered behaviour. Not only does that mean you can trust it, but it often directly contradicts claimed data from surveys, leading to opportunities that would probably have been missed" - Simon Garnett, Founder, The Forge

        "We didn’t know we could get such a robust, in-depth picture of our store's layout that could make such an impact on our bottom line. This information has enables us to improve the customer experience and in hand increase profits." - Big box retailer, VP of Merchandising