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How to ensure your IoT solution is fit-for-purpose

We explore five key considerations to deliver scalable fit-for-purpose IoT solutions for the supply chain industry. By Sam Sharief, COO at Thinxtra, The IoT Telco.

For the supply chain and logistics industry, IoT solutions promise endless innovative applications that deliver operational efficiencies, create business opportunities and support competitive advantage.

Yet, despite widespread IoT interest, debate and many trials, it is rare to find industrial IoT projects that have reliably scaled.

In our experience of working with many different organisations in this industry, the biggest challenge for scaling occurs because most IoT trials and Proof of Concepts (PoCs) aim to only prove the technology’s capabilities. Most don’t seek to prove, validate or understand the business benefits that could be unlocked by the data insights IoT solutions can deliver.

The key for successful fit-for-purpose industrial IoT solutions lies in the ability to translate the data into actions which ultimately realise the value, regardless of the technology choice.

Five key considerations

The key to unlocking true business value at scale lies in designing IoT solutions that are fit-for-purpose for your business. Over the last five years, we have learned from countless projects:

  1. Technology agnostic approach

It might come as a surprise as we are talking about technology, and despite what many may claim, there is no single IoT technology, solution, or standard that can solve every business problem. In fact, the opposite claim is probably more accurate: the business requirements, operational and cost constraints will eventually lead to the right technology choices.

Every IoT technology brings different strengths and weaknesses. They only emerge when data requirements are mapped to specific operational needs, may they be at local or global scale.

The plethora of IoT solutions available in the market can be confusing and challenging to navigate. Successful industrial IoT projects are technology agnostic, and need to easily become a natural extension of day-to-day operations. This means the solution needs to be easy to implement and maintain, be robust, reliable and scalable wherever the business operates, regardless of the underlying technology.

  1. Clarity of the business problem or opportunity

Instead of seeking the latest bright new shiny technology to adopt, the best starting point for leaders is to ask what business problems IoT technology needs to solve and bring the right stakeholders together. Like any transformation project, the adoption of IoT solutions requires a holistic view to orchestrate changes across multiple functions in any organisation.

For example, if the customer experience can be improved to maintain competitiveness, or operational costs can be lowered, gathering accurate location or condition information of assets as they move through the network could enable these outcomes to be achieved.

If the objective is to support growing demand whilst minimising additional capex expenditure, increasing asset utilisation through data insights can enable the reduction of loss rates, remote asset visibility and therefore faster asset rotation.

  1. Ultimately it is all about data: requirements and value

IoT is more about data than the name suggests. Data from connected devices help run and optimise a business by enabling faster, better quality decision-making. Devices attached to the assets you monitor share updates on key tracking criteria, such as location, temperature or humidity, at regular or event driven intervals. Imagine your asset “could tell you” when it is staying for more than the contracted 60 days in a clients warehouse, or sends an alert when it leaves a defined area.

Data produced from devices can trigger automated workflows or alert stakeholders to take action, faster and more efficiently than through traditional, manual information flow. For example, if a device monitoring temperature inside a truck transporting chilled goods between cities indicates the temperature is rising above approved levels, an automated alert notifies the Logistics Manager, or truck driver, of the problem. Corrective action occurs based on data produced in real-time.

Once the data requirements, production methods, processing and management costs are defined, the project team can focus on designing the best fit-for-purpose solution, across devices, data, connectivity, digital platforms, process flows and operational support.

  1. Fit-for-purpose solution requirement list

Although many business environments may seem similar, no two businesses are identical in their business offering or operational practices. These differences mean it is rare to plug-and-play an IoT solution out-of-the-box without the need for some customisation. For example, IoT Devices must be attached to physical assets in a way that won’t hinder existing operations. The logistical costs of attaching thousands of devices onto assets also means the device must be durable, quick to install, and able to withstand different weather, temperatures, humidity and vibration, all the way down to the choices of the right screws, material or brackets.

Similarly, the battery life of the IoT Device has a very significant impact on ROI. Ideally it supports the lifetime of the asset, which can be many years, and delivers a set-and-forget deployment. Every business has different asset types, from wooden crates, beer kegs, shopping trolleys, baggage trolleys, vehicles, and even livestock. Considering all these variables means that you are served best by a fit-for-purpose solution that is configurable and flexible with minimum changes to be made.

  1. Total Cost of Ownership (TCO)

The Total Cost of Ownership (TCO) of an IoT initiative is a key decision factor for every organisation and must include the operational BAU impact and required changes across the business.

A holistic approach is needed to consider all cost drivers for the IoT project deployment, and on an ongoing basis. Critical to include in TCO calculations are costs of:

  • purchase, or design and development of the right IoT devices to produce and route required data,
  • quality, reliability and life of the battery to run the IoT device,
  • installation, deployment and maintenance costs,
  • customisation for efficient performance,
  • communications, and making sure communications are available and reliable as needed,
  • the digital platform enabling workflows which use the data produced to create operational efficiencies,
  • change management to nurture and sustain adoption.

Successful IoT solutions create significant business value to justify the investment costs of transformation and beyond.

 

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