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How TruKKer is using data to even out capacity fluctuations

Capacity fluctuation blurs a supply chain’s operational excellence, mainly owing to limited transport capacity and driver shortages. Besides, sudden high freight demands on less-frequented routes also add significantly to capacity bottlenecks. These shortages result in intensified transportation costs with plummeting operational efficiency. Empty miles bolster further this downtrend when carriers bill for empty arrivals or departures as a part of their contract. Transport contracts often do not include the best possible conditions, more so as they account for a market that lacks transparency and dabbles in guesswork. Just like a shipper who is oblivious of the empty trucks which are running unloaded near their loading stations. Whereas with visibility or network transparency, there could have been otherwise an enormous savings potential ensuing from a smart load allocation practice. And with the allocation of orders becoming increasingly shorter as the number of trucks and drivers shrinks, the search for available transport capacity becomes labor-intensive while increasing the overall cost. On a closer look, the supply chain market was suffering from a dire need to determine and leverage the available capacity and manage transports accordingly. The question was how.

Now, picture this: you foresee the carriers with the maximum probability of having empty capacity by the close of business on any given day. Then you become aware of the ones that belong to your endorsed carrier pool – all this without going old school. Now, you easily persuade those carriers to quote on your transport. As your orders will assure them of sizeable backhaul and reduced empty miles, these carriers would be able to offer lower rates. So, you have not only managed to secure more offers but also at an acceptable price point while investing less effort and time.

In real life, this is the power of an intuitive and smart data-driven platform. The task to efficiently estimate and utilize carrier capacity at competitive rates is increasingly becoming daunting for the shippers. That’s why whenever a shipper tenders an order request on any data-driven platform, it initiates a real-time search for carriers assigning transports within a defined area and time of this new order. The platform then performs a comparative analysis between the unloading date, location of the assigned transport and the loading date, location of the new order. On occasions of a match, it notifies the shippers to move their orders with the matched carriers. All this happens in real-time without any hassle and extra effort.

Automation enables shippers to find out the most appropriate carriers from their list of carriers, get bids, choose a carrier, fix the price and assign, and finally dispatch the transport. It works as a just-in-time processor for any incoming load request, fuelling overall cost savings for the shippers. Our TruKKer platform also saves millions of empty miles and unnecessary transit hours while curbing overhead costs significantly for 000s of shippers across MENA. It draws on our unique reserve of proprietary shipping data and sifts through it to offer perfect matches along with actionable intelligence. Here are some of the features that make us the de-facto platform in MENA when it comes to on-demand trucking:

Search matching carriers

Compares the load-data (address, date) of free transports with the unloading data of the carriers in the platform. In case of a match, the platform alerts the shippers

Real-time validation

One single click to check for matching transports – everything in real-time

Holistic carrier information

Enjoy 360-degree carrier information with one single click and stay ahead of any misadventure

Customizable as per requirement

Shippers can specify their transportation requirements and utilize the fullest of their investments

All in all, the TruKKer platform optimizes the long-term supply chain strategy by deploying the proper load allocation method for any shipper-carrier relation. Real-time and data-led processes ensure informed decision-making to allow more effective planning for any supply chain activity. On a different note, shippers can now find new and more suitable carriers for their existing trade routes at a lower price but faster than ever.

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