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How Big Data Changed Fulfillment and Inventory in Retail

Designed for retail leaders and lovers alike, Retail Refined explores the in-store technology of the future, challenges the industry’s preconceived notions, and brings together retail’s biggest names to understand the brand strategies that will define the next decade in retail.   Retailers learned many lessons in 2020 relating to the “new” in-store experience. This knowledge now shines…

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Designed for retail leaders and lovers alike, Retail Refined explores the in-store technology of the future, challenges the industry’s preconceived notions, and brings together retail’s biggest names to understand the brand strategies that will define the next decade in retail.

Retailers learned many lessons in 2020 relating to the “new” in-store experience. This knowledge now shines the light on what’s to come regarding inventory accuracy, flexible fulfillment, and more trends. Sharing thoughts on these subjects and the role of technology is Tim Kane, Retail Solutions Consultant for North America, Zebra Technologies. Zebra supports retailers with devices and solutions for inventory, fulfillment, operations, the customer experience, and analytics.

“The biggest lesson learned from 2020 is how quickly retailers could respond. In early March, when the pandemic was becoming a reality, retailers made immediate changes associated with digitizing. One customer advised me they had made 147 operational changes from March to May, and that’s incredible,” Kane said.

With the acceleration of adaption and technology growth, analytics becomes more vital for retailers. “There’s so much more data to capture than just POS. There are shelf cameras and robotics that can capture data and feed it to a machine learning engine. It can then send tasks to store managers and associates about inventory gaps,” Kane explained.

These new tools are elevating the role of store associates. They can focus on more high-level work, while technology automates simple, repetitive tasks. That’s especially beneficial for grocery stores. Customers can use devices to scan products themselves and pay for a frictionless experience. Associates can use them to pick and process orders. “The technology can also track when the customer is nearing the store for pickup when they arrive, and what spot they’re in; all creating a positive experience at curbside,” Kane explained.

Micro-fulfillment for grocery is becoming very sophisticated, learning on technology, as well. “The most expensive parts of online grocery are the labor to pick and the delivery. Now grocery stores are automating this with robotics. They are then partnering with delivery services to reduce costs but meet customers where they are.”

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Grocery Vision AI takes the blame for failures the network underneath causes

Grocery Vision AI takes the blame for failures the network underneath causes

Vision AI and automation failures in grocery stores often stem from inadequate network infrastructure rather than the technology itself. Operators must audit network capacity before deployment and build standardized architecture that scales across multiple locations, as pilot successes rarely translate to fleet-wide reliability without proper infrastructure planning.

  • 01Network instability can cause AI systems in grocery stores to perform poorly during peak hours.
  • 02Perceived Vision AI failures are often misattributed when the network underneath is the more likely cause.
  • 03Customer frustration can increase when self-checkout lanes experience delays or disruptions.

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Retail tech rollouts slip when nobody plans for the live store

Retail tech rollouts slip when nobody plans for the live store

Retail technology rollouts often slip when plans ignore the operating store itself. By piloting in low-revenue locations, reserving recovery time before opening, coordinating hardware and field resources, and standardizing store types upfront, retailers can protect opening dates and customer experience while deploying new systems.

  • 01Pilot technology in low-revenue stores where failure costs least revenue, not in flagships, to surface conversion problems before high-impact rollouts.
  • 02Build cutover schedules with dedicated recovery time before store opening; a failed cutover at 5 a.m. with no margin forces either broken equipment or late opening.
  • 03Coordinate hardware procurement, staging, and field technician availability as a single constraint; delays in any handoff push back every dependent store visit.

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Amazon says Prime delivery can run on merchants’ sites at no added MCF cost

Amazon says Prime delivery can run on merchants’ sites at no added MCF cost

U.S. merchants using Amazon’s Multichannel Fulfillment can offer Prime delivery on their own websites at no cost beyond standard fees, Amazon says. Amazon verifies Prime membership after checkout, so shoppers don’t log in to Amazon and merchants keep their own checkout while handling returns and customer service. Separately, Amazon says its MCF Preferred Pricing Program can lower fulfillment fees 15% to 25% for eligible FBA sellers during their first six months, with benefits continuing through a 12-month program.

  • 01The Prime badge now costs an MCF merchant nothing beyond the fulfillment fee it already pays, and the checkout page stays the merchant's own.

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