Closing the Gap: 5 Factors for Successful AI Adoption

Easy is better, easiest is best they say. Who’s they? Consumers.

Consumers demand convenience.

This is what it really boils down to –all the change shaking up the retail industry. Consumers want it now, easy and free.

[T]he battle for convenience is the battle for industry dominance. […] Convenience is one-click, one-stop shopping, the seamless experience of “plug and play.” The ideal is personal preference with no effort.” The New York Times

While the retail industry is disrupted by consumer preference for convenience (without a doubt), it’s also disrupted by the evolving technologies in place to deliver on these new expectations. We already know what the consumer wants, but how do we actually go about delivering on these needs? How difficult is it for businesses to adapt?

Read More

Topics: retail technology, artificial intelligence, machine learning, inventory optimization

3 Common Misunderstandings About AI & Machine Learning in Retail

The hype surrounding AI is real. You know it, I know it, we all know it. So what exactly is the problem when it comes to adoption? Do certain misconceptions of what AI can and can’t do factor into all of this?

Read More

Topics: retail technology, artificial intelligence, machine learning, inventory optimization

How Predictive Analytics and Machine Learning Can Help Optimize Your Inventory

Imagine a world where you could see into the mind of your customer.

What if as soon as you became aware of what your customer wanted to buy, you could flip a switch and the product would be manufactured instantaneously? Then, at the flip of another switch, you could get it into your customer’s hands instantaneously? 

Read More

Topics: retail technology, artificial intelligence, innvoation, NRF2018, machine learning, inventory optimization

3 Retail Technology & Data Trends to Watch for in 2018

There’s no easy way to trulyknow how the future will pan out. We anticipate certain outcomes from what we know—like the fact the Patriots won over five Super Bowl championships or that your women's cold-shoulder sweaters sold 500 units last season.

With this historical data at hand, it would seem logical to place our bets on past performance.

And, as you know, merchants are constantly making bets.

Yet, while placing our bets for another New England Super Bowl win isn’t entirely a gamble (what can I say, we’re Boston-based ¯\_(ツ)_/¯), anticipating consumer demand for the fall or spring season six to eight months in advance is.

Read More

Topics: retail technology, artificial intelligence, fulfillment, consumer trends, e-commerce, online shopping, data

The BIG Show Countdown (NRF 2018 Must-See Sessions)

It’s almost time.

Read More

Topics: brick-and-mortar retail, NRF2018, retail technology, artificial intelligence, fulfillment, consumer insights

Ready for more?

Request a Demo