As an omnichannel retailer, you are probably offering your products to shoppers both online and in brick-and-mortar stores. And, like most retailers, you are no doubt collecting online data and running detailed website analytics that help you track preferred products, pricing, shopper behavior, ratings, and so on.
But are you able to gather these same detailed metrics in your physical store, telling you why shoppers choose your store over your competitor’s? How to create a better experience on the floor? Or optimize staffing? Most importantly, are they helping you increase sales?
Until now, the answer to these questions has been “No,” simply because the technologies to gather such metrics weren’t available. It hasn’t been until now, the era of the Internet of Everything, when edge computing is available to gather and analyze the data that gives you a 360-degree view of your store.
Studies show that in-store analytics is a key area of innovation, which may allow retailers to gain up to 11 percent in value. Today’s in-store analytics tools should be able to do three things:
- Integrate data from multiple services
- Automate data collection processes
- Analyze data to identify actionable insights
With these capabilities available, you can use the power of your investments in mobile technology, social media, and in-store applications to collect – and understand – more and more customer information.
Join us for an hour on Tuesday, July 14 at 10:00 am PT/1:00 pm ET for a webcast on “How to Make Your Data Meaningful: New Strategies for Improving In-Store Shopping Experiences and Retail Operations.” This free one-hour session will discuss:
- Which in-store metrics generate real-time recommendations to boost operational efficiency
- How analytics can help you offer hyper-relevant shopper experiences and forge enduring customer relationships
- Use cases that demonstrate the outcomes of connecting data to decision making
Register Today. We’ll see you there!
Tags: analytics, BigData, Cisco, data, Dianne Lamendola, Internet of Everything, internet of things, operations, retail, shopper, shopping
Last week I was in Orlando attending NCR’s Synergy Conference, which, this year focused on “Inspired Commerce.” At the show I heard a lot of dialog with retailers and technology partners about how the Internet of Things and the integrated use of mobility in our day-to-day lives is changing how retailers engage with consumers. I addressed this topic in my session at the show, but wanted to mention a few highlights in hindsight.
First, the use of mobile devices during the shopping journey is no longer for millenials and early adopters only. They are certainly the heaviest users, but across the board in the US, 55% of shoppers are making use of retailer-specific applications, and 34% are using independent shopping apps such as Groupon, Zulily, etc. More than 40% of consumers want to receive their loyalty points/perks and discounts in real time, while shopping in the store, vs. receiving the same information in snail mail or in email.
Second, mobile is becoming integral to the shopping process. Retailers are facing demands for greater convenience, transparency, and interactivity with their consumer base that would have been unimaginable even a decade ago. (As a side note, this is extending into other industries as well, such as healthcare and financial services.) Consumer expectations are evolving, and with this, retailers need to be able to offer new and effective engagement opportunities with their brand.
Other disruptors include fast-changing technologies such as social media use (not just Facebook and Twitter, but now Pinterest and Instagram) and the need to aggregate social sentiment data; unstructured data such as photos, posts, Tweets; and structured data coming from legacy systems such as CRM, SCM, and POS to make real-time decisions at the edge of the network – in the store or online where the rubber meets the road.
So – high volumes of structured and unstructured data, exponentially growing sophisticated consumer demands, and the growing use of mobile devices in the shopping journey. How does the retailer leverage all of these opportunities to make the most of this evolution?
With billions of connections, sensors and devices lighting up the Internet of Things, the aggregation of structured and unstructured data to deliver real-time analytics on mobile devices for store associates and mobile engagement via apps aimed at consumers, the opportunities are endless. Retailers that can deliver hyper-relevance – which, according to Cisco’s research, is increasingly what consumers prefer during the shopping process – will be the ones who stand out. Hyper-relevance delivers to me, the consumer, what I want, when and how I want it, in the context where I am at that particular moment.
To succeed in this new paradigm, retailers must earn consumers’ trust and deliver consistently as a brand to get access to the data that lets them provide a truly relevant real-time experience. Once consumers are willing to share a certain amount of personal data – at Cisco, we call this the “trust cliff” – retailers can use real-time analytics to turn that data into actionable insights.
We have identified three key attributes that retailers must possess to deliver hyper-relevance and build a dynamic infrastructure and processes:
- Hyper-aware: By implementing and automating edge technologies such as sensors, cameras, beacons, and RFID tags, retailers can capture value from the intelligence and automation that is now available to them. This is the way to begin to gain true visibility into what the customer is experiencing in the store, how they are dwelling in the store, where they need help with the shopping process.
- Predictive: By overlaying intelligence and analytics on top of these edge technologies, retailers can gain real-time anticipatory insight into what is happening, what to expect, and how to meet customers’ real-time needs. If retailers can more systematically determine peak timeframes and loyal customers’ shopping patterns, they can anticipate the staffing needs to speed up the shopping process and assist customers through the checkout process faster.
- Agile: Agile, solid infrastructures, adaptive business processes, and associate training capabilities are critical to being able to deliver the kinds of dynamic experiences discussed here. When business processes can change dynamically and associates trained to respond and do what’s best for the customer, all while leveraging technology and insights gained from integrated systems, the customers’ shopping experience can delivered in an excellent manner.
This is obviously not as easy as it sounds. Implementing a hyper-aware, predictive, and agile network to respond to your customer demands is very difficult. We in the Cisco Business Transformation Team work with customers to help them explore where they are today and where they want to take their business in the future, and work arm-in-arm with them to look at what it would take to get from where they are today to this desired future state.
We recommend the following steps:
- Forget everything you thought you knew about the digital consumer – all the old paradigms are melting away and “segmentation” no longer applies
- Go to the edge for visibility into what customers are experiencing at that moment
- Build a dynamic infrastructure and create agile processes that to support the customer experience
- Develop new business models that drive innovation and enable hyper-relevance
If you would like to download the white paper from Cisco Consulting Services that I’ve referenced, please click here.
Tags: Anne McClelland, Cisco, data, disruptor, hyper-relevance, internet of things, IoT, mobile, predictive, social media
Hello, everyone! My name is Anne McClelland, and I am the new director for Cisco’s retail and hospitality sales team in the U.S. I’m excited to have the chance to write for Cisco’s retail blog program, and you’ll be hearing from me regularly sharing some insights, musings, and speculations on trends as well as giving you information about Cisco’s resources for the industry.
One of the interesting discussions that I’m having with our customers right now is about the relationship between eCommerce and the physical store, and how this relationship is being significantly redefined. Retailers are wrestling with how to leverage the store to improve online sales (and vice versa) to create a truly omnichannel buying experience for their customers.
To better align these channels, I’m seeing just how much retailers want to do more with consumer analytics. Retail executives are talking to us about their interest in finding new ways to understand who exactly the shoppers are, who is actually coming in their stores (and who is not), why they are or are not responding to promotions, and when they do buy: what was on their list vs. what was incremental to their planned purchases. Retailers are also anxious to better understand and leverage the technology at the edge – at the store entrance, on the end-caps, in aisles, on the shelves, and on the goods themselves.
To make this all this magic happen, retailers find they need to upgrade network infrastructures; those who were not ready for all of these potential edge analytics are now finding themselves feeling a bit “behind the times.” We are hearing that many of our retail and hospitality friends are looking to find creative new ways to light up the aisles and the back office. We are hearing very strategic questions such as, “Do we have too many stores?” “Are we over-invested in inventory and store footprint?” “Is there a way to streamline our operations?” “Can we better integrate online and brick and mortar to gain efficiencies?” Many retailers are integrating online delivery and returns to stores, as well as testing new models such as third-party package-delivery firms. I’ll explore these topics in future blogs.
Meanwhile in the store itself, where the rubber meets the road, how are retailers differentiating today? Where are the crowds of the people congregating? Why are they there? I think of the Apple store in our local mall, I think of the Disney store in Times Square. These stores are literally jammed. Why is this? Why is Apple’s store so jammed? What has the Disney store done to evolve to drive crowds and new business concepts?
Innovation is key: Disney has made a business model around glamorizing the Disney princesses for their customers running “The Disney Princess Store,” including new services, videos, games, products. They have opened up a mega-category that is a logical extension of what their customers love to do… dress up. Why aren’t the department stores similarly jammed? It’s all about innovation; it’s all about thinking deeply about the consumer; it’s about driving brand association and attraction; and it’s about executing on the “theater of retail.”
We’ll be joining Cisco’s partner NCR at the Synergy User Conference, being held June 22-25. I’ll be speaking there on the “Internet of Things: Retail Without Boundaries” and discussing how seemingly futuristic technologies are changing the way retailers interact with their customers – I hope to see you there!
I look forward to getting to know you in person and through this blog in the coming months. In the meantime, I invite you to extend your knowledge by attending our free summer retail webcasts:
- June 16: “Delivering Successful Store-of-the-Future Experiences,” held at 10:00-11:00 am PT/1:00-2:00 pm ET, with Forrester Research’s Adam Silverman on improving store infrastructures and bandwidth. Register today.
- July 14: “Make Your Data Meaningful: New Strategies for In-Store Shopper Experiences,” held at 10:00-11:00 am PT/1:00-2:00 pm ET, on new analytics capabilities for retail environments. Register today.
Feel free to connect with me at email@example.com.
Tags: analytics, Anne McClelland, Cisco, ecommerce, NCR, omnichannel, retail, store, theater
If every click made by a shopper on an online store can be considered valuable information, surely every step taken by a shopper in a physical store is also a similar wealth of data. While clearly this is valuable input that many stores would like to have, the means to collect and process it is not available everywhere. This fact has resulted in a significant gap in the information available in an online as opposed to a physical store.
Can the power of Internet of Everything and real-time analytics bridge this gap? Can it help capture the shopper behaviors using sensors in the store? Can real-time analytics at the edge transform this data into shopper insights?
Yes indeed. While we see the need for granular and enhanced analytics, we clearly see that many physical store retailers are yet to start their journey in capturing such shopper insights. Let’s take a 3D view of your shoppers.
You need to gather:
Door Traffic: This is the total traffic coming into your store. This metric is very valuable for understanding loyalty, conversion, staffing needs, and much more use cases as highlighted in the Cisco white paper on Retail Analytics. By filtering new and repeat visitors, we can understand your shopper’s loyalty – but when we bring together this data with point of sale data, it helps us to understand conversion. When we correlate this with marketing campaigns, it helps you get a sense of your store’s and campaign’s effectiveness.
Dwell Time: This is the time that your shoppers are spending in the store and in different areas of the store. It highlights the engagement of shoppers with your products and displays. For example, this metric can be used to understand products that are getting more attention from your shoppers, or can be used to determine more advanced metrics, such as balk rates and predicted wait times.
Demographics: This is the breakdown of segments among your shoppers. The granularity of this data can vary and can provide insights for customer segmentation and the ever changing dynamics of your shoppers, helping you to match shopper preferences and targeted promotions.
While there are no questions about the value of these data to the retailers, achieving it is currently a challenge due to the combination of technologies and sensors required to capture them precisely, effectively, and economically.
The Cisco Connected Analytics for Retail solution focuses on making this journey easier for retailers to capture the data and derive insights. Leveraging Wi-Fi, video, social, PoS, and other sensor data, and bringing together the power of real-time edge analytics, the solution provides retailers a 3D view of their shoppers.
If you are attending Cisco Live 2015 at San Diego, come by to check out the Connected Analytics for Retail solution demo in the World of Solutions pavilion. I look forward to seeing you there!
Tags: analytics, Cisco, CiscoLive 2015, dwell, Internet of Everything, IoE, Rajesh Vargheese, retail, shopper, store, traffic
The lines between offline and online experiences are blurring. Customers no longer go online, they are online 24/7, and that includes inside your stores. In fact according to recent Google research, 89% of smartphone users leverage their smartphones while shopping in stores. And close to 70% of those used it to look at the retailer’s site and 21% look at apps.
Furthermore, according to Laura Wade-Gery, executive director of Multi-channel eCommerce for Marks & Spencer, “Shoppers who shop on our website as well as in our stores spend four times as much; throw smartphones into the mix and they spend eight times as much.” Enabling web, mobile, and video experiences in the store represents a huge opportunity – whether it is interactive, connected digital signage; Wi-Fi; employee-focused endless aisle apps; and so on.
Yet the majority of our customers face the reality that digital innovation is overwhelming their enterprise network. Everything from web apps, HD video, software updates, mobile apps, and even digital signage are traversing the network eating up valuable bandwidth. In addition, most retailers subscribe to doing more with less – particularly when it comes to IT – so upgrading enterprise network bandwidth across every store every few years is often just not viable, both from a budget and agility perspective. That is not to mention that a lot of Cisco customers can’t upgrade their bandwidth due to store location even if they wanted to.
But bandwidth constrained enterprise networks are only one side of the story. Latency is the other, whether caused by distance or amplified by enterprise network architectures such as backhauling Internet traffic over the WAN through the datacenter and out to the Internet. Currently, the vast majority of retailers use this network topology for store Internet access.
And as we all know, high latency is particularly detrimental to web application performance.
Just look at the difference in latency and bandwidth between in-store and residential Wi-Fi. In fact, latency for in-store Wi-Fi is higher than latency for LTE.
The bottom line is that congested, high-latency, low bandwidth enterprise networks result in slow HTTP applications, video, and software updates.
And we all know that video or apps that are slow or not working properly are bad for business. There has been plenty of research highlighting the fact that as web apps get slower, conversion rates decrease, abandonment rates increase, and employee productivity plummets.
In other words, slow apps – whether inside or outside the store – equals unhappy customers and unproductive employees. The answer to this problem? Retailers need to focus on accelerating HTTP/S applications, video and software updates while maximizing enterprise network bandwidth to ensure fast, high-quality experiences to all of your end users.
To learn more, be sure to register to join us on June 16 for a free one-hour webcast.
Tags: App, application, ecommerce, Lorenz Jakober, retail, shopper, signage, video, web, wi-fi