PrintThe 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 (length 1:32). Esri, 12 Jun 2018
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.
- 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.