When it comes to merchandise planning, the current volume of decisions is enormous. Consider that a retailer with 10 price zones, 10 ad zones, 50 stores, and 50,000 products is approximately 3 million per week (1,000 promo items at 10 ad zones plus 50,000 prices at 10 price zones plus 50,000 inventory decisions at 50 stores). If one had 50 merchants, that means the merchants would have to make 125 decisions per minute, for 40 hours per week. The number of potential decisions to evaluate would be 10>3,000 i.e. far, far beyond human capability.
June 27, 2018
The most important thing to bear in mind here is that real AI changes are invisible. The real core of retail business – intelligent planning and operating systems – is not publicly discussed by the big companies as that is the secret sauce to competitive advantage. Early adopters of AI will succeed at the expense of those companies that are late to the game.
June 1, 2018
Use cases for artificial intelligence reach further into retail business processes and resulting customer experience than just providing chatbots. CIOs can use this research to find new and innovative vendors supplying AI solutions that support a variety of retail business benefits.
May 2, 2018
Change in the retail industry has been accelerated by new competitors and global digital transformation. Underlying this shift are two key trends: the use of technology to understand the rapidly shifting attitudes and sentiments of highly informed buyers, and the demand from retailers to search for a successful operating model in a digital world.
April 19, 2018
For years, hundreds of TTC staff scammed the employee health care plan and pocketed millions. Read the true story about the fraud and the organized crime and the investigation right here. This fraud detection was as easy as picking Daisy!
March 20, 2018
When it comes to gathering data, few retail categories handle a greater volume than the grocery business. With potentially hundreds of thousands of SKUs and millions of transactions, it’s no surprise that supermarkets have been at the forefront of many important data-driven innovations over the decades, from barcode scanners and panelist data to loyalty programs and even the humble coupon.
Febrary 01, 2018
The data provided by Daisy Intelligence is helping the chain to optimize its pricing and promotional efforts. “Daisy’s A.I. enables us to analyze Harp’s transactional data on a giant scale,” Ganoung added. “As a result, this significant improvement in promotional effectiveness supports our ability to meet the needs of our shoppers by keeping our prices competitive, and enhancing our profitability.”
January 26, 2018
“Our print circular is our largest advertising expense and you want to be as efficient as you can.. Daisy’s A.I. enables us to analyze Harp’s transactional data on a giant scale, and as a result, this significant improvement in promotional effectiveness supports our ability to meet the needs of our shoppers by keeping our prices competitive and enhancing our profitability.” said David Ganoung, VP of marketing at Harps.
January 23, 2018
As competition and price pressure grows, sources predict retailers will also invest in technology that helps them operate more efficiently and enhance the buying experience for shoppers.
January 16, 2018
Harps Food, a Springdale, Ark.-based chain of 87 stores, last year started using Canadian data-analytics firm Daisy Intelligence about a year ago to review which products should be featured in its frequent circulars, said David Ganoung, vice president of marketing at Harps. “Our print circular is our largest advertising expense and you want to be as efficient as you can.” Harps has used the data from Daisy to expand the range of advertised products, often adding more produce, Mr. Ganoung said. The grocer also can measure how a circular deal influences what else a shopper might buy, he said. “So I put a hot price on Yoplait. Did I cannibalize from a regularly priced Chobani product that the shopper was already going to buy?”
January 11, 2018
As retailers and merchandisers, your business is selling, and the competition is fiercer than ever. In the future, growth will mostly likely stem from the ability to use your data in new ways, and the power of A.I. services like those offered by Daisy can improve your business results, despite what will prove to be a yet another challenging year ahead.
January 08, 2018
Retail analysts say artificial intelligence will soon be used to help retailers excel at what they do. Bill Bishop expects grocers to go beyond analytics in 2018. “I think that artificial intelligence does two things — it frees people up from drudge work, and it goes into areas they didn’t even think about going”, Bishop said.
January 02, 2018
STORES, The Magazine of NRF, December edition, takes a look at predictions for what’s in store in 2018 and features Daisy’s AI-Powered promotion optimization in an article called “Making it Automatic”
December 06, 2017
October 24, 2017
June 29, 2017
Centre for Advancing Retail Technology (CART)
January 15, 2017
For media and analyst inquiries, please contact us.