The Biggest Takeaway from NRF 2019? Optimize Everything.

The word “optimize” was littered across the expo floor at NRF 2019.

From shelf space to e-commerce basket sizes to your in-store workforce – every process across the retail value chain seems to be begging for optimization. “Frictionless,” “efficient,” and “seamless” were the all-encompassing descriptors used to entice interest and engagement among attendees perusing the aisles for technology solutions, ideas, or (let’s be real) free giveaway swag. 

The need for optimization is unequivocal as retail organizations are tasked with executing costly decisions on a daily basis at a tremendous scale. Yet how to approach this problem is less than certain when there are numerous opportunities to improve decisions at each stage of the retail process. Whether your current struggle hinges on production, inventory, store operations, or last mile fulfillment — whatever the challenge may be — the technology available today will enable retailers to glean insights into the mountainous amount of data they have. 

Based on our observations at the big show in NYC, it’s apparent retailers must prioritize investments in tools like artificial intelligence (AI) and advanced analytics to make the optimal decisions to meet the ever-evolving needs of their customers.

Read More

Topics: brick-and-mortar retail, artificial intelligence, advanced analytics, retail trends, retail technology, NRF2019, inventory optimization, fulfillment optimization, allocation, demand prediction

4 Revealing Stats About AI in Retail You Need to Know

“Artificial intelligence (AI) offers the prospect of a frictionless existence, making us more efficient, helping us prevent mistakes, spotting the onset of potential problems before they become problems, and enabling us to spend more time on the things that really matter to us.” – Paul Clarke, CTO of UK-based online supermarket Ocado

Strategic planning for 2019 is underway as the new year unfolds. Findings from the holiday season, so far, appear cautiously optimistic as sales rose 5.1 percent to over $850 billion – the strongest in six years, according to a Mastercard report.

However, the itch for opportunity and disruption never subsides in an industry wrought with constant change. After years of navigating the tumultuous retail market, many brands are embracing advanced analytics and artificial intelligence (AI) technologies for a chance to resurface for a gasp of fresh air. Considered by Gartner “transformational” and “high-benefit” technologies, AI and advanced analytics will enable new ways for retailers to do business that will result in “major industry dynamic shifts” and “significant revenue increase or cost savings.” Here are four revealing findings about AI in retail you need to know going into 2019:

Read More

Topics: brick-and-mortar retail, artificial intelligence, advanced analytics, retail trends, retail technology

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

Ready for more?

Request a Demo