ARMONK, N.Y. - 11 Jun 2015: IBM (NYSE:IBM) today announced that Honest Caf , a new type of unmanned coffee house in London, is using Watson Analytics to unearth client insights to help determine everything from coffee products and pricing, to marketing and promotions.
Honest Caf is a new venture from Revive Vending, one of the leading vending service providers in the UK, designed to encourage healthy eating and social engagement.
Unique to the Honest Caf plan is staffing: the three caf s currently in operation, and four more planned, are all unmanned. Instead, the company deploys and positions high-end vending machines at the Honest Caf locations. The caf s offer a mix of health-conscious snacks, locally-sourced and low-calorie organic options, juices, fruit teas, flavored popcorn, baked vegetable snacks, and Fair Trade hot drinks.
Although the absence of wait staffs, cooks, and baristas can mean greater efficiencies and lower overhead costs, it makes understanding clients' needs and desires a little more challenging.
Because Honest is unmanned, it's tough going observing what our customers are saying and doing in our cafes, said Mark Summerill, head of product development at Honest Caf . We don't know what our customers are into or what they look like. And as a start-up it's crucial we know what sells and what areas we should push into.
What Honest Caf did have was data. All those vending machines were capturing important information, from product sales and selections, to the timing of purchases, and more. But even then, the company realized it was not getting the value out of its transactional files.
We lacked an effective way of analyzing the data, Summerill said. We don't have dedicated people on this and the data is sometimes hard pull to together to form a picture.
That's when the company turned to Watson Analytics, IBM's breakthrough natural language-based analytics service that provides business professionals across disciplines fast access to powerful, predictive and visual analytics. With the help of IBM Business Partner, EBI Solutions, Summerill uploaded its transactional information and quickly began discovering insights.
We identified that people who buy as a social experience have different reasons than those who dash in and out grabbing just the one drink, Summerill said. They also have a different payment method, the time of the day differs and the day of the week. Knowing this, we can now correctly time promotions and give them an offer or introduce a product that is actually relevant to them.
Honest Caf is a great example of how young new businesses are leveraging predictive analytics for the first time to make better, more strategic business decisions, said Marc Altshuller, Vice President, Watson Analytics, IBM. The company is harnessing the power of Watson Analytics to not only be responsive, but proactive.
Since its release in December 2014, more than 40,000 people around the globe have registered for and are using Watson Analytics. Through IBM's relationship with Twitter, Watson Analytics also enables customers to analyze social sentiment for insights around programs, products, trends and more.
Because of his early success with Watson Analytics, Summerill is in the process of upgrading to Watson Analytics Personal edition which offers access to 25,000 tweets per dataset.
Having direct access to Twitter data for insights into what our buyers are talking about is going to help augment our view and understanding of our customers even further, he said.
In addition to providing clearer insights into purchases, the combination of Watson Analytics and Twitter data could help Summerill predict what customers are likely to buy. For example, since the company has technology to dispense drinks remotely, it can provide drinks to customers for free remotely when they engage with a vending machine.
Watson Analytics could help us make sure we offer the right customers the right drink, possibly their favorite drink, Summerill said.
But for Summerill, the key aspect of Watson Analytics is its ease of use.
I'm no analyst and data sometimes leaves me feeling cold, but Watson Analytics has helped me understand the data and the story we can tell, Summerill said. We can be focused on what really matters rather than what we think might matter.
Watson Analytics
Watson Analytics is offered in three editions: Watson Analytics, which is free to users and supports up to 500MB of data storage; Watson Analytics Personal, which is $30 per user/month and supports up to 2GB of data storage and analysis of up to 25,000 tweets per dataset; and Watson Analytics Professional edition, released last month, which supports up to 100GB of data storage and up to 50,000 tweets per dataset. Watson Analytics Professional is $80 per user/month.
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IBM's statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM's sole discretion. The information on new products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information on the new products is for informational purposes only and may not be incorporated into any contract. The information on the new products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. The development, release, and timing of any features or functionality described for our products remains at our sole discretion.
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ARMONK, N.Y. - 11 Jun 2015: IBM (NYSE:IBM) today announced that Honest Caf , a new type of unmanned coffee house in London, is using Watson Analytics to unearth client insights to help determine everything from coffee products and pricing, to marketing and promotions.
