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What’s Ahead with A.I. and the Grocery Industry in 2019

Soups, frozen dinners, and hot chocolate are some of the staples that consumers will likely stock up on as they face the cold winter months in many places in North America. In 2019, grocery retailers no longer have to make assumptions about what consumers will buy; they can leverage technologies like artificial intelligence to optimize consumer spending through compelling price and promotion coupled with effective allocation of inventory to meet the needs of customers.

Demystifying Artificial Intelligence

A recent article in Winsight Grocery Business looked at how groceries can imagine the future with A.I. Imagine a world in which you know exactly how many employees you need for a shift. Imagine knowing the best products to discount. Imagine a supply chain that...

2018: The Year That Daisy Blossomed

Without being too literal, 2018 was the year that Daisy blossomed. In 2018, Daisy emerged as a fast-growing company delivering artificial intelligence technology that drives tangible and significant financial results for grocery retailers and insurance companies.

Daisy Intelligence secures $5 Million Funding from Espresso Capital

Toronto Start-Up takes top prize – 16 Canadian AI Companies vied for Investment from Espresso Capital. And Daisy Intelligence secures $5 Million Funding in Pitch Competition. This funding secures Daisy’s mission to support and make AI based solutions accessible to mid-size retailers to help them co-exist & even compete directly with the bigger giants. Daisy wants to help reduce poverty by helping companies reduce prices to consumers thereby lowering the cost of living, creating a win-win situation in this competitive space!

A.I. and Change Management – “Regional Grocery”

Today, we’ll delve deeper into the specifics of adopting A.I. in the retail industry for mid-market and regional grocery players.. As recent as a decade ago, investing in A.I. systems was cost-prohibitive for all except for the massive retail companies. Today, almost every retailer of any size can afford to fund A.I. initiatives.

How to spot if the A.I. is real

The objective of this blog post is to help business and technology leaders gain clarity around the value of A.I. by being able to better discern what is fake A.I. and weed the pretenders out. The fact is, there’s quite a bit of “fake A.I.” presently being offered. When we use the term fake A.I., what we’re describing is the way legacy data analytics technologies are repackaged and marketed by (too) many vendors as A.I.

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