in

How IoT is Transforming the Retail Industry

Hey there! As a long-time data analytics guru and retail tech enthusiast, I wanted to provide you with a comprehensive guide to an innovation that I think holds enormous transformative power: the Internet of Things (IoT).

In the following article, we‘ll explore how IoT works, retailer use cases and real-world examples, the key technologies powering retail IoT, benefits for retailers, challenges to overcome, and a peek at the future possibilities. My goal is to get you just as excited as I am about IoT‘s potential!

So let‘s dive in…

What Exactly is the Internet of Things?

The Internet of Things refers to the growing global network of internet-connected smart objects that can collect and transmit data about their environment. This includes a vast range of everyday items embedded with sensors, software and connectivity that enables them to communicate real-time data with other devices and cloud-based applications via the internet.

While consumer IoT products like smart watches, fitness trackers, home assistants and smart appliances get a lot of attention, I find the industrial and commercial applications even more interesting. Sophisticated IoT technologies are being embedded into infrastructure, machines, vehicles, and entire operation systems across industries like manufacturing, healthcare, agriculture and of course, retail.

By outfitting physical objects with miniaturized processors, sensors and internet connectivity, companies can effectively make components of the physical world digitally visible and interactive. This enables tracking assets, monitoring variable conditions in real-time, automating processes, and unlocking data-driven insights.

The widespread adoption of IoT across industries is being fueled by advances in sensors, cloud computing and wireless networking. IDC predicts there will be 41.6 billion connected IoT devices generating 79.4 zettabytes (ZB) of data by 2025. The global IoT market is projected to grow to $1.6 trillion by 2025 as more organizations realize the value.

IoT Applications in Retail

Retailers have quickly realized IoT‘s immense potential to provide operational visibility, enrich customer experiences and disrupt nearly every aspect of the retail value chain. Leveraging connected smart devices allows retailers to enable capabilities that simply weren‘t possible in the past.

While the consumer-facing side of retail IoT gets the most attention, the behind-the-scenes applications that enhance logistics, inventory, facilities management and overall operations have the biggest monetary impact for retailers.

Let‘s explore some of the most common and impactful retail IoT use cases:

Supply Chain Visibility

Outfitting pallets, shipping containers and trucks with sensors allows retailers to gain granular visibility into their supply chain flow. GPS and RFID tags enable retailers to track locations and conditions of in-transit merchandise 24/7. Environmental sensors can even detect instances of theft, damage or spoilage.

This supply chain transparency allows retailers to identify shipping bottlenecks, optimize delivery routes, prevent product loss, improve forecasting, and meet SLA goals. According to an Auburn University at Montgomery study, real-time visibility into supply chain conditions using IoT reduces costs by 65.6% on average.

Automated Inventory Management

IoT is enabling retailers to automate inventory tracking across their extended supply chain in ways never possible before. Connected cameras, digital weight sensors, RFID readers and other in-store sensors can continuously monitor product availability on shelves and in storage rooms.

This allows retailers to cut down on manual stock checks by staff. More importantly, the real-time inventory data enables intelligent re-ordering and restocking to prevent costly out of stocks. Research suggests product availability is one of the biggest drivers of customer satisfaction and loyalty for retailers.

Smart Shelves

Moving beyond simply tracking inventory, some retailers are implementing "smart shelves" to create a fully IoT-enabled product replenishment process.

Shelves are equipped with a combination of LED displays, motion sensors, weight sensors and RFID readers. As soon as a product is picked up by a shopper, the shelf sensor detects the now empty spot. The LED display gets updated in real-time, staff get notified, and replacement inventory is automatically ordered.

This smart shelf technology prevents overstocking and reserves shelf space for the most in-demand items to maximize sales.

Predictive Equipment Maintenance

Sensors embedded in refrigeration systems, HVAC units, electronic displays and other in-store equipment can continuously monitor performance and relay data like temperature, pressure, humidity, vibrations and energy consumption.

Analyzing this data allows retailers to identify anomalies and predict potential equipment failures before they cause disruptions. This shift from reactive to proactive maintenance saves retailers money and keeps operations running smoothly.

Enhanced In-Store Experiences

IoT deployments allow brick-and-mortar retailers to provide the kinds of frictionless, personalized shopping experiences that consumers have come to expect from ecommerce giants like Amazon.

In-store sensors can track real-time customer foot traffic, dwell times, and popular product engagement. This was nearly impossible to monitor in the past beyond anecdotal observation by staff. The shopper insights unlocked by IoT data allow retailers to improve store layouts, placement strategies, staffing levels and services.

IoT can even enable smart features like digital mirrors that allow shoppers to digitally try on clothes, or receive customized offers for nearby products via their mobile app when entering certain departments.

Mobile Payments

46% of shoppers say waiting in long checkout lines is their least favorite part of shopping. IoT-enabled mobile payments help solve that.

Retailers can allow shoppers to pay directly from their app using short-range wireless protocols like RFID and NFC to communicate with sensors placed around stores. This means no more waiting in line for a cashier.

Mobile payments also allow easier integration of loyalty programs and personalized offers to influence buying decisions at the point of sale.

Loss Prevention

Shoplifting costs retailers tens of billions per year. IoT technology like sensors and high resolution security cameras with object and facial recognition capabilities can help identify suspicious behavior and known thieves as soon as they enter stores. This real-time monitoring capability vastly improves theft prevention.

Analytics on sensor data further enables retailers to pinpoint high-risk departments, times of day, and stores to allocate loss prevention resources most effectively.

Contextualized Marketing

Beacon and sensor technology allows retailers to detect customers‘ locations and behaviors in real-time as they move about brick-and-mortar stores. Retailers can use these insights to trigger relevant offers directly to shoppers‘ mobile apps when they enter certain departments or aisles.

This contextual promotion capability provides a more personalized experience and higher conversion rates than generalized ads.

There are certainly many more potential applications as retailers get creative with IoT. But these use cases have the most transformative power right now to solve persistent operational pain points while future-proofing stores with data.

Key Enabling Technologies Behind Retail IoT

Various hardware, software and connectivity protocols work together to make these IoT applications possible:

RFID – Passive and active RFID tags offer retailers item-level product visibility even without line-of-sight when combined with readers placed strategically in warehouses and stores. RFID has advantages over barcodes with serialized tracking.

NFC – Near field communication chips enable short-range wireless data transmission between objects, like IoT-enabled credit cards or loyalty cards communicating with in-store payment terminals.

Beacons – Bluetooth low energy beacons placed around stores interact with compatible mobile apps to provide micro-location targeting, proximity notifications, indoor navigation, contactless self-checkout and more.

Digital Sensors – On-shelf cameras, accelerometers, pressure pads, light sensors, moisture sensors and other micro-devices embedded into equipment provide 24/7 monitoring.

Computer Vision – Smart cameras with object recognition and machine learning capabilities enable retailers to gain invaluable shopper insights and analytics not possible through staff observation alone.

Artificial Intelligence – Sophisticated AI algorithms help retailers extract insights from massive incoming streams of IoT sensor data and video footage in real-time.

5G Connectivity – The rollout of high-speed 5G networks allows for exponentially faster data transmission from IoT devices to the cloud compared to 4G LTE, and reduced network latency.

WiFi 6 – The latest WiFi standard also provides the fast connectivity, capacity and low latency needed for large-scale IoT device connectivity.

Cloud Platforms – Scalable cloud platforms provide the computational power and data storage required to ingest, process and analyze huge volumes of IoT data from thousands of locations in real-time.

Data Analytics Software – Analytics programs and machine learning algorithms transform IoT sensor data into actionable business intelligence.

As IoT hardware continues getting smaller and cheaper while wireless connectivity gets faster, capabilities will keep expanding. But for now, these core technologies are powering the current retail IoT revolution.

The Powerful Benefits IoT Offers Retailers

Here are some of the overarching benefits that IoT adoption delivers for forward-thinking retailers:

Greater Operational Efficiency – IoT provides granular, real-time visibility into variable conditions across facilities and the supply chain. Analyzing IoT data allows retailers to streamline processes, eliminate bottlenecks, prevent losses, and improve productivity across operations.

Enhanced Customer Experiences – Connected devices supply retailers with shopper insights they’ve never had access to before. This data can be used to provide more convenient, personalized and frictionless shopping experiences.

Informed Decision Making – No more guessing on inventory levels, equipment issues, store utilization, shopper behaviors, loss problems, etc. IoT provides hard performance data to base important business decisions on instead of hunches.

Increased Sales – IoT-driven inventory and shelf management efficiencies directly translate into higher product availability and sales. Research suggests out of stock items can lead to 33% of consumers leaving a store empty-handed.

Loss Prevention – Real-time IoT monitoring and analytics provides loss prevention capabilities that thwart organized retail crime activities like gift card hacking, return fraud, and shoplifting that costs retailers over $30 billion annually.

Innovation Capabilities – The mass amounts of IoT data collected from shoppers and operations allows retailers to develop and validate innovative new store concepts, technologies and experiences.

Competitive Edge – Top retailers are turning to IoT solutions to improve customer experiences and operational efficiency. Laggards risk losing market share in an ultracompetitive industry.

For most retailers, the long-term payoff from IoT investments offset the initial deployment costs and learning curves. The only question is how quickly they can scale implementations across chains to start benefiting.

Real World Examples of Retail IoT Innovations

Many top retailers are pushing the boundaries of what‘s possible with IoT. Here are some impressive examples:

Walmart – The world’s largest retailer has deployed RFID tags across its entire supply chain to gain real-time inventory visibility from suppliers to store shelves. This IoT solution helped Walmart increase on-shelf availability by over 65% while cutting out-of-stocks.

Target – Implemented Bluetooth beacons in over 1,600 stores for location-based reminders, drive-up alerts and indoor navigation. Target also uses video analytics to gather shopper insights used for store optimization.

Selfridges – This high-end UK retailer introduced smart mirrors in changing rooms that display clothing options based on items already selected. They also use IoT to control lighting, music and display settings based on customer volume.

Rebecca Minkoff – The fashion brand‘s NYC flagship store features interactive mirrors that auto-suggest complementary products and sizes when clothes are held up. There‘s also self-checkout and smart displays.

Nike – Developed Nike Live, a data-driven shopping concept that leverages IoT data to automatically adjust each store‘s merchandise display based on local customers‘ online purchasing patterns.

Macy‘s – Tested IoT tech in 40 stores to control lighting, sound, fragrance and digital signage based on changing shopper volume and profile, creating a more personalized experience.

Gap – Uses camera-based monitoring to identify high-traffic store areas and conversion analytics. Combined with shopper demographics data, Gap optimizes merchandise placement in fitting rooms and shelves.

Lowe‘s – Deployed autonomous inventory robots to scan shelving using computer vision to identify missing and misplaced items, improve picking accuracy and simplify inventory management.

Kohl‘s – Installed electronic shelf labels that can be remotely monitored and changed in real time based on inventory data instead of manually printing paper labels. Also uses RFID.

Bloomingdale‘s – Uses AI and camera analytics to identify VIP customers based on past purchases and online browsing. Store staff get alerts to provide personalized service.

Walgreens – Is testing shelf sensor cameras to detect when products are running low and need restocking. Also exploring AI overhead cameras to capture in-store insights.

And this just scratches the surface of retail IoT innovation! The variety of promising pilots and permanent rollouts across chains highlights the immense potential.

Challenges Retailers Face With IoT Adoption

Of course, executing retail IoT initiatives also involves overcoming some key challenges:

Data Security – With large amounts of sensitive customer and business data flowing between connected devices and the cloud, ensuring data protection and compliance becomes more complex. Retailers must secure entire hardware, software and network stacks.

Customer Privacy – Shoppers‘ willingness to share personal data has limits before they perceive privacy invasions. Transparent opt-ins and careful uses of data are critical.

Data Management – Properly storing huge streams of structured and unstructured IoT sensor data as well as keeping datasets organized and easily queryable is difficult at scale.

Analytics Expertise – Deriving actionable insights from IoT data requires statistical, predictive modeling and machine learning skillsets that many retailers haven‘t invested in building internally yet. Outsourcing data science is an option.

Integration Complexity – IoT deployments require integrating new data streams with legacy business intelligence systems, ERP platforms and supply chain management software. This takes planning and care.

Rollout Costs – Installation and change management costs involved with deploying IoT hardware, software and infrastructure across large chains can add up quickly.

Reliability – Retailers must ensure IoT solutions work reliably and don‘t disrupt operations if sensors or networks go down, especially during peak sales days.

But overcoming these hurdles is well worth the effort given the long-term payoff. As Nordstrom‘s Innovation Lab VP has stated, "IoT is difficult work, but it just needs to be baked into a company’s transformation.”

The Future of IoT in Retail

We‘re still just beginning to see the possibilities of IoT in retail. Here are a few exciting developments on the horizon:

  • Mainstream adoption of "smart checkout" technologies like Amazon Go using overhead cameras, shelf sensors and AI will eliminate checkout lines. 67% of shoppers would use smart carts.

  • 5G networks will support new bandwidth-intensive retail IoT applications using high-res 360-degree video, VR/AR experiences, and real-time analytics.

  • Machine learning and AI will power visual product recognition, predictive demand forecasting, dynamic pricing, personalized recommendations, and other intelligent retail tasks.

  • Blockchain will enter retail IoT networks and provide efficient, secure product tracking and inventory management between retailers and suppliers.

  • Growth of edge computing will allow real-time IoT data analysis to happen at the source instead of the cloud, unlocking faster insights.

  • Computer vision and sensors will enable frictionless "grab and go" shopping from shelves. 28% of shoppers are already willing to use such tech.

  • Voice-based shopping will expand beyond smart speakers to allow customers easy in-store product lookup and purchases via voice commands.

The data visibility and business intelligence gained from retail IoT systems will ultimately become a competitive necessity. In the future, plugging into the IoT becomes mandatory for enhancing customer experiences, increasing sales, and streamlining operations. Companies who embrace IoT early will have the advantage.

Closing Thoughts

The Internet of Things opens up game-changing possibilities for retailers to meet customer expectations and gain operational efficiencies like never before. From the supply chain to the sales floor, IoT unlocks data visibility and insights that weren‘t possible in the past.

While still in the early adoption phase, we already see many impressive pilots and permanent IoT deployments happening across major chains. IoT will ultimately become indispensable for competing in the new era of digitally transformed retail.

The technology has progressed so much already, and will only continue advancing to uncover new innovations. However, overcoming key challenges around security, privacy and integration requires focus along the way. Companies able to strategically embrace IoT will reshape the future of shopping experiences and unlock unforeseen competitive advantages.

I hope this guide has you excited about the disruptive power of IoT in retail as much as I am! Let me know if you have any other questions.

AlexisKestler

Written by Alexis Kestler

A female web designer and programmer - Now is a 36-year IT professional with over 15 years of experience living in NorCal. I enjoy keeping my feet wet in the world of technology through reading, working, and researching topics that pique my interest.