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Fuel increases, diminishing marginal returns and the turbulent markets are turning more and more logistics companies to real-time data and more specifically, transport management solutions to help them make decisions.

The value of real-time data cannot be underestimated in the modern-day operational environment where change happens quickly and without much notice.

The ability to view and analyse data at the moment it is being collated is proving to be a major competitive advantage allowing logistics companies to make real-time decisions benefitting not just their own operations but that of customers.

Transport management software companies greater planning as well as better reporting capabilities ultimately resulting in enhanced customer experiences making it imperative that more South African logistics companies adapt towards technology.

Transport companies need to start collecting and analyzing data more profusely or face being left behind because their competitors will start doing so, if they have not already. The powerful companies of tomorrow are the ones that implement data sensitive systems today.

Whilst technology is being introduced far more than ever before in the South African logistics environment, there is still a fear amongst transport companies to turn towards new technology. The reason, we believe, comes down to project and change management. That is where Forte Transport Solutions come in, bridging the gap by managing people, processes and systems.

Forte Transport Solutions is responsible for the implementation of Datatim – one such TMS tool that is South African based.

This South African-based software drives the collection and analysis of logistical data. During a recent implementation of this specific tool, a vast amount of benefits were seen by the customer including the ability to make precise logistical decisions, greater control and visibility throughout the supply chain and greater control of fleet distribution that in turn allowed for improved planning. Prior to the implementation of Datatim, the management was analysing data a month later and then making decisions thereafter. This resulted in the incorrect solutions being placed which resulted in a major loss of control and greater inflexibilities within their supply chain.