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A greater understanding of the relationships between people, places and things adds an invaluable layer of business insight, transforming customer interactions.<\/p>\n\n\n\n

<\/p>\n\n\n\n

Connecting your things, be they heavy metal or your fridge, to the internet is one thing, but what about unlocking the value of their location as well? Combining intelligence between people, places and things to understand and minimise risk.<\/p>\n\n\n\n

The concept of the \u201cinternet of things\u201d (IOT) is not a new one. It first started to gain some popularity in the Northern Hemisphere in the summer of 2010. The initial craze was when information leaked that Google’s StreetView service had not only made 360-degree pictures, but had also stored tons of data of people’s WiFi networks.<\/p>\n\n\n\n

The internet was on fire with speculation as to whether this was the start of a Google strategy to not only index the internet but also index the physical world. Later that same year, the Chinese government announced it was going to make IOT one of its strategic priorities in its five-year plan.<\/p>\n\n\n\n

No self-respecting tech commentator would be able to look themselves in the mirror if they didn\u2019t mention the Gartner Hype Cycle for emerging technologies (which incidentally was invented in 2011). It included IOT as a new emerging phenomenon on its list.<\/p>\n\n\n\n

Now 10 years on from those early IOT beginnings, and the understanding of the relationship between people, places and things is a growing, innovative market \u2013 a market that, says analyst group\u00a0Research and Markets<\/span><\/a>, will be worth $71.6 billion by 2025 and is growing at a CAGR of over 34%.<\/p>\n\n\n\n

The firm refers to it as the \u2018location of things\u2019 and defines it as \u201can emerging sub-category of the IOT concept that enables connected devices to monitor and communicate their geographic location. Enabled by IOT sensors and location technologies embedded into various connected devices allows organisations and service providers to collect a variety of data over the network.\u201d<\/p>\n\n\n\n

Understanding the \u2018where\u2019<\/strong><\/p>\n\n\n\n

IOT provides us with the \u2018standard\u2019 sensor data that we typically collect about our things: temperature, status, fuel levels, critical errors, current state, last action, next action, software version, operating system, etc.<\/p>\n\n\n\n

LOT is unlocking the \u2018where\u2019. Where is the device in time and space? What\u2019s its altitude? What\u2019s its speed and direction?<\/p>\n\n\n\n

The location data now gives us the opportunity to lock these sensor data points to a specific space and time. Now the relation between these data points becomes relevant as well. The distance between sensors can point to trends, patterns and risks that have been previously invisible, as the location of the sensors was somewhat obscured in spreadsheets or business intelligence that could not expose its physical location.<\/p>\n\n\n\n

Effectively, we are talking about a move from just sensing, to doing, and this becomes incredibly powerful in any business.<\/p>\n\n\n\n

Effectively, we are talking about a move from just sensing, to doing, and this becomes incredibly powerful in any business. By understanding your where, it provides context for action at the edge. This edge of \u2018where\u2019, therefore, can unlock value in a multitude of use cases.<\/p>\n\n\n\n

The where of retail<\/strong><\/p>\n\n\n\n

In retail, LOT allows a level of personalisation that is arguably the Holy Grail of the retail industry.<\/p>\n\n\n\n

\u2018Where\u2019 is not something new to the retail industry; since the inception of retail, stores were strategically placed to coincide with where demand is high. Even more now, retailers can:<\/p>\n\n\n\n