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The Next Step in Your Store Analytics Strategy: Sensor Fusion


September 14, 2015 - 2 Comments

Retail has entered an era of unprecedented competition and accelerated evolution worldwide. Retailers in every category, both brick-and-mortar and online, face larger and more unpredictable threats than ever before, from digitization of goods and distributed manufacturing to autonomous, near-instant delivery, service robots, and online experiences with unprecedented realism, as disruptors such as virtual reality, 3D printing, drones and wearables take root.

While e-commerce growth is outstripping physical store expansion, the in-store experience is still a powerful part of the shopping experience. The Internet of Everything (IoE) offers new opportunities to make physical store shopping a better experience for the consumer and more lucrative for the retailer. By lighting up “dark assets,” retailers gains unprecedented insights into shopper behavior and operations, and can impact every piece of the value chain from merchandising and sales to workforce optimization, shopper experience and service.

Retailers light up dark assets by instrumenting physical stores with sensors and actuators such as Wi-Fi access points and shopping cart tags, beacons, video cameras, and even mechanical devices such as weight sensing shelves or humidity sensors. While these sensors themselves provide valuable new insights, often the greatest advantages are derived from combining multiple types of sensors and data through “sensor fusion.”

As just one example, pairing Wi-Fi location data showing a shopping path with point-of-sale data can highlight opportunities to improve conversion, where shoppers linger but don’t purchase. Likewise, combining video analytics of traffic entering the store with shelf sensing of the rate at which refrigerated goods are being picked up provides a more accurate forecast of staffing needs.

The business value of sensor fusion can be staggering – our studies show that a 1,500 store big box chain could save up to $100 million per year in cashier cost, at the same time as reducing checkout wait times by up to half – in fact, we predict that IoE could ultimately end up eliminating the checkout line. IoE also helps with the stubborn problem of on-shelf availability, where the largest retailers can lose more than $1 billion annually.

But that’s not all – sensor fusion is already being used to evaluate campaign effectiveness, optimize merchandising, and help suppliers and partners become the captains in their categories, as well as to reduce shrink and improve shopper and employee safety.

Please join us to learn more on Sept. 25 during my 45-minute webcast being held at 12:00 noon ET/9:00 am PT. It’s called “Why You Need Sensor Fusion in Your 2016 Retail Analytics Strategy,” and it’s jointly sponsored by Cisco and our partner RetailPoint, which offers POS solutions. I’ll speak for just half an hour about IoE in action in retail and the technologies enabling it, from video (the “supersensor”) to wearables to precision location and the single pane of glass for retail – the ultimate view of your business. Then we’ll spend 15-20 minutes in open discussion on how sensor fusion can help your store take the next step. Please register today!

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2 Comments

  1. Interesting piece. Sometimes in-store technology seems to be the poor stepchild to digital innovation when it comes to buzz-worthiness. It's fascinating to think about how technology can create better customer experiences (and increase profits) in the store and even more fascinating to consider how cutting edge solutions in-store and online can be combined to magnify success throughout retail organizations.

  2. Excellent summary thanks for sharing