• Like

Saving brick and mortar retail

  • 478 views
Uploaded on

In-store and online data is enabling new opportunities for retail. With the ability to gather information in real time, guessing future sales points based on the past is no longer necessary. Read …

In-store and online data is enabling new opportunities for retail. With the ability to gather information in real time, guessing future sales points based on the past is no longer necessary. Read about how using sensors in retail environments can help businesses predict behavior and better customize the consumer experience—and how to identify risks so you can avoid a breach in trust.

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
478
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
2
Comments
0
Likes
1

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Unleashing IT, Big Data Special Edition Saving brick and mortar retail Cisco and Intel® partnering in innovation The opportunities for retailers to tap big data are vast, as long as they avoid notable pitfalls. “Big data will save brick and mortar retail,” claims Paul Schottmiller, a senior partner for Cisco® Consulting Services’ retail practice. It’s a bold statement, but industry experts are bullish on the transformative prospects of in-store and online data. Retail success has always been achieved by getting the right product to the right customer at the right time, location, and price. And yet, retail has historically been a timedelayed business, with critical decisions made from outdated information. “Retailers have always been forced to evaluate the past to inform the present and future. Last month’s inventory levels, last quarter’s marketing campaigns, last year’s holiday season. Even coupons are based on previous shopping trips,” Schottmiller explains. “But the industry is evolving. More than ever, retailers have the ability to gather information in real time, and influence the in-store experience as it is happening.” What does this mean in dollars and cents? According to Cisco Consulting Services, retailers can realize an estimated 54 percent after-tax profit gain once big data analytics are adopted.1 The rise of sensors The increase in retail opportunities is directly aligned with an increase in data sources. From in-store sensors—such as video cameras, Wi-Fi, and weight-sensing shelves—to location-based applications on smartphones to social media and website data, retailers have more information about their operations and customers than in the past. “Big data is helping retailers shift from a review-and-revise model to a realtime, sense-and-respond model,” says Shaun Kirby, director of innovations architecture for Cisco Consulting Services. “But that’s only the first step. Once their capabilities become more sophisticated, they will be able to predict customers’ needs and desires as well as market and operating conditions, and prepare in advance.” Sensors, in particular, are speeding up retail analyses and decision making. Video cameras can give a wealth of information— especially when combined with other sensors, such as Wi-Fi—about foot traffic, behavioral patterns, inventory levels, safety incidents, and theft. More advanced video analytics can detect a consumer’s demographics and biometrics, even hand gestures, eyeball movement, and emotions. “Sensors are everywhere, but they are mostly siloed,” says Kirby. “The greatest value is found when multiple data sources are combined and analyzed, also known as ‘sensor fusion.’ This is when limited data sets of limited value can become truly transformative.” With more data and better analyses, retailers can eliminate long lines and out-of-stock situations. They can interact with consumers in real time, delivering targeted coupons, incentives, and expertise at the critical moment when a purchase is being considered. And they can make adjustments—to inventory levels, product placement, labor resources, and customer services—with greater speed and precision.
  • 2. Unleashing IT, Big Data Special Edition Whatever the use case, big data is helping retailers close traditional latency gaps, allowing them to improve their operations and enhance the customer experience faster than ever before. Avoiding the “creepy factor” Being open and honest about the data being collected and how it is being used can help allay consumer fears over privacy. Many banks and big box retailers, for example, show their surveillance feeds at the front door, helping customers be aware of the feeds and understand their primary purpose is security related. While big data spells big opportunity, it can also present risk. As retailers learn more about consumers and collect personal details—including who and where they are, and how they behave—they must straddle a fine line between insight and privacy, value and intrusion. Retailers must also deliver value if they want consumers to readily accept their big data tactics. Having customers opt in to programs—through location-based applications on smartphones, for example—is one way to foster transparency and deliver value. “Retailers need to avoid the ‘creepy factor’ at all costs,” warns Schottmiller. “Location matters and price matters, but brand image is huge. Once that image is tarnished or becomes untrustworthy, it can be a long recovery process.” “Customers will give up a measure of privacy if they get something in return,” Schottmiller explains. “But they don’t like too much noise, so the offers and services must be truly valuable. It’s a give-and-take proposition.” To stay on the right side of the fine line, retailers need to deliver two things: transparency and value. Business Solutions Group, August 2012. “Transparency promotes trust, value promotes desire. Retailers must do both,” says Schottmiller. “Being secretive may allow retailers to fly under the radar for a while, but if those secrets are exposed, retailers will lose brand equity and customers.” 1 Surfing the Data Deluge: How Retailers Can Turn Big Data into Big Profits, Cisco Internet More information For additional perspective on Big Data in retail and an Intel “Future of Shopping” video, visit the "Big Data for Retail" section at: www.UnleashingIT.com/BigData/Resources/. This article first appeared online at www.unleashingit.com, available after subscribing at www.unleashingit.com/LogIn.aspx. © 2013 Cisco and/or its affiliates. All rights reserved. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. To view a list of Cisco trademarks, go to this URL: www.cisco.com/go/trademarks. Third party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company. (1309) Intel and the Intel logo are trademarks or registered trademarks of Intel Corporation in the U.S. and/or other countries.