Fleet Management and Data Analytics
One of the most useful ways that data analytics can deliver operational benefit to a business is that of 'asset uptime'. In the fleet industry this means minimising ‘off-road’ time for the asset. It costs to have an asset out of action, both in lost revenue but also reputational risk.
Most companies already keep maintenance history, but what triggers the management of that maintenance?
Unfortunately, most of the time the trigger is the actual ‘down-time’ event – failure of the asset to perform when needed.
However, while this provides information it is a reactionary method of managing assets and if used as the main operational policy, is a strategy that won’t allow proper planning and maximisation of assets.
A better option
A more effective method would be to plan and manage maintenance, based on more than just historical maintenance schedules or manufacturer guidelines.
Instead, accessing and utilising your data on asset condition could dictate the required maintenance. In this way, the timing and nature of the work isn’t limited to general rules but instead becomes dependant on specific factors such as journey times (i.e. rush hour), telematics about journey routes (urban vs. extra-urban), nature of payloads, multi or single point drops (very important in the growing non-high street part of the economy i.e. retail delivery, internet shopping etc) plus other driver behaviours.
But this isn’t always easily accessible.
Planning is key to taking a proactive approach and Blue Label Consulting can fulfil that need by offering a joined up data analytics solution.
Integrating telematics and vehicle data to co-ordinate service booking means the focus is on getting 100% of maintenance done via automated service booking lines.
This method provides enhanced operational capabilities for the business including:
Working with Blue Label Consulting helps introduce more operational control within the business. This allows companies and fleet managers to let the day-to-day running of the fleet (and therefore business) run in a more streamlined and automated manner. This in turn creates more time to identify future trends in the market, better plan operational changes, reduce costs and increase profitability.
If this is an issue for your business and you are interested in understanding more about this approach please contact us here.
Founder and Managing Consultant
Blue Label Consulting
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Brendan launched Blue Label Consulting in 2011. With innovative use of Data through AI, ML and other quantitative methods, he delivers robust analytics and actionable insights to solve business problems.