8.2 Internet of Things (IoT) and Connected Sensors

The IoT is a complex 21st century phenomena characterized by a network physical objects in the physical world connected to digital infrastructure in the virtual world. Retail business connects sensors, IoT, and omni-channel marketing to gain advantages and optimize their marketing, sales, and operations costs. The process also drives competition and innovation to meet customer needs. Watch the video for other indoor uses of IoT and location intelligence.

Video 8.2: Internet of Things (IoT) and Location Intelligence: Customer Engagement (1:32 minutes).

Video 8.2: Internet of Things (IoT) and Location Intelligence: Customer Engagement.

Retail leaders are beginning to create competitive separation by understanding where customers are in the store and using that information to meet their needs.

At this big-box store, Jill uses the retailer’s app to organize her shopping list and look for bargains. The store’s Bluetooth-equipped light sensors communicate with her phone to understand her location as she moves through the displays. Her experience reflects what studies have shown: shoppers are often willing to give up some privacy in exchange for a more personalized experience.

When Jill enters the health section, her phone lights up with a coupon for a branded headache reliever—a higher-margin product than she usually buys. A map created by a geographic information system directs her to the correct shelf. At checkout, the retailer learns whether the coupon triggered a purchase and updates Jill’s profile accordingly.

For retailers, the benefits of IoT go far beyond any one shopper. In aggregate, this data can inform decisions such as how to design an entire store. Jill and other users of the store’s app benefit from digital extras like coupons, but even those without the app contribute anonymously to improving the in-store experience.

By triangulating signals, the store can understand shoppers’ movements and answer questions like: Which product locations drew the most attention? What displays did customers most enjoy seeing? Mapping these insights helps planners modify store layout, product mix, and promotions.

This, in turn, enhances retail success—allowing traditional companies to close the gap with online competitors.

IoT architects rely on four fundamental components of embedded sensing, continuous connectivity to the internet, integrated smart computing, and virtual interfaces to engage devices without requiring physical contact. AI software tools enable business to identify consumer trends and behavior, collect a large database of niche markets; in essence, as a business information process.

Customers’ use of smartphones near and within stores allows businesses to access dynamic site data such as location, location preferences, duration of stay, and frequency of visits. The ability to embed location data and spatial analytics delivers value for business decision making, actions, experiences. Dynamic data enables organization to predict customer behavior and their buying patterns. This is then incorporated into location-based marketing to aid conversion and improve customer experiences.

Deliverable:

Post a comment in Canvas to the Lesson 8.2 - Geospatial Analyst Role in Decision Making forum. (30 pts)

  • Briefly relate your previous or current role in decision making at an organization relating in some way to location intelligence.
  • Have you been the decision maker, part of the process, submitted geospatial analysis results for location intelligence-like decisions? What was the circumstance?

Don't forget to comment on your peers posts.

Due Tuesday 11:59 pm (Eastern Time).
Check the Calendar in Canvas for specific time frames and due dates.