The first challenge for an IoT smart vending deployment is choosing a connectivity solution. In part 1 of this series, we discussed how to achieve reliable, continuous, out-of-the-box global connectivity for your vending machines.
Once you have connectivity sorted, you can focus on how to derive value from your IoT deployment. With the data you collect from your devices, you can implement engineering efficiencies and reduce costs, as well as create competitive advantage and opportunities to disrupt the market.
But IoT devices generate vast amounts of data. Data that needs to be stored, processed and analysed to turn it into actionable insights.
So, the second IoT smart vending challenge is understanding how to identify your data requirements and manage your data so that you can derive real business value from your IoT deployment.
If, as the saying goes, data is the new oil, then IoT deployments can be the most productive of oil wells.
With sensor data you can:
With this proactive approach, you can reduce costs by minimising expensive engineer visits, and optimising maintenance and logistics schedules. You can increase revenue with well-stocked machines and reduced downtime, allowing you to process more payments.
With access to vending machine usage and behavioural data enabled by connectivity you can:
So how can you achieve these benefits?
The key to success is to think and plan ahead.
In too many IoT deployments, it’s only after the devices are in the field that issues are identified and failure occurs. Adding sensors or reconfiguring hardware or firmware at that stage can incur a significant extra cost.
You need to work with analytics experts, business leaders, and IoT device and connectivity specialists to:
The requirements for sensor data form a critical input to your IoT design phase. As your vending machines can have a lifetime of more than five years, it’s important to get a future-proof design so that you don’t need to update or retrofit the machines once they’re deployed.
With all the devices in an IoT deployment sending frequent updates to the centre, the challenge of achieving secure, efficient and scalable storage and analytics can seem daunting.
If you have storage and analytics resources in-house, you could consider storing your IoT data on your own servers.
Another option is to use a hyperscale cloud provider, such as Microsoft Azure or Amazon Web Services (AWS). These vendors offer solutions that are scalable and provide off-the-shelf storage, tools, analytics and security capabilities.
Using a cloud provider with good IoT analytics and management tools can reduce your risk and time to market, whilst accelerating your ROI.
As storage costs decrease and analytics capabilities increase, benefits from IoT smart vending deployments are becoming increasingly achievable.
But if your deployment is going to be successful, it’s critical to clarify your goals and design your IoT devices right first time.
Eseye has extensive experience of designing IoT devices and connectivity solutions. We can work with you to identify the best solution for managing the data from your IoT-enabled smart vending machines.
Security can be one of the biggest challenges in IoT. Join us next week for a look at how to manage security for your IoT deployment.
For a more in-depth look at the critical elements for success with IoT vending deployments, you can also download our whitepaper ‘Effective Deployment of IoT Enabled Smart Vending’.
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