Celect Recognized as Innovative Tech Start-Up in The Leading 100

I’m thrilled to share the news of Celect’s recognition in The Leading 100, an annual list that recognizes break-out technology start-ups driving innovation in the fashion and retail industry.

This list is curated by The Lead, a research firm that bridges the fashion and retail industry with the global Silicon Valley to empower the industry’s transition to digital centricity. They’re focus is at the crux of where fashion, retail and technology markets converge – where innovation is shifting behavior and constantly creating new business opportunities.

In an industry undergoing an unprecedented transformation where in-store revenues and foot traffic are in decline, bottom line improvements require a clear understanding and ability to adapt to customers’ ever-changing needs in advance, across multiple channels. That’s exactly where Celect comes in.   

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Topics: retail technology, artificial intelligence, inventory optimization, brick-and-mortar retail, machine learning, advanced analytics, start-up, innovation

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.

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

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:

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

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?

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

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?

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

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