Fremont, CA, February 21, 2019 --(PR.com
)-- LogiNext has unveiled its live and predictive delivery route planning engine which gives the client a live preview of how their planning would play out on-ground with all their shipments and drivers. The client can check multiple planning constraints or flavors and visualize in an interactive map interface, exactly how the actual results would look like. They can test multiple planning options and save them as profiles for future use.
Some time ago, LogiNext came up with live logistics planning where companies can alter their active on-ground trips with dynamically revised ETAs that were immediately communicated to all stakeholders. The managers, drivers, and customer could track everything live (on their web dashboard or smartphones). This included automatically assigning ad-hoc packages (orders) to active trips/drivers nearest to the pickup location.
Adding on the live simulation process at the pre-planning stage, companies can predict the results on-ground with much higher accuracy. This gives them higher control over the planning and the actual proceedings on-ground.
“The world is moving to faster deliveries. Next-day deliveries is no longer a desire, it’s a norm. Retailers and e-commerce players are then faced by heightened demand with a large shipment volume but limited vehicle or truck capacity to move the merchandise. Even if after unlocking the demand, a company wouldn’t be able to satisfy it, then that demand just ends up in a competitor’s bucket. Companies need far more control in their pre-planning and planning stages to get the maximum returns out of their logistics set-up,” Dhruvil Sanghvi, CEO, LogiNext.
Manisha Raisinghani, CTO, LogiNext, finishes the thought, “This live and predictive planning has plugged in these gaps perfectly. With the rate and contract module, the companies would know exactly how many of their own trucks they would use and how many trucks would they be sourcing from the market. Even then, they can visualize exactly how each planning profile would lead to better capacity utilization for each truck. Each change and alteration would show exactly how it played out on-ground. Change a territory marker, see how the delivery allocation and trips would optimize themselves on-ground. And then just pick the best planning alternative.”
Live and predictive planning also help companies create exact territory maps or geofences which would outline where and how each driver moves, based on their own learnings, skill-sets, and local knowledge. It would also let companies balance their load across drivers and trucks up to the highest desired perfection based on whether they want to balance the time spent on-duty, the weight of shipment handled, total units handled, etc. The (predicted) results in each case would be showcased for the manager to make an informed decision. Such control in the hands of the company would help them lower logistics costs, bring in higher accountability and visibility at the planning stage, handle carriers and logistics partners better, and recreate the best functioning plans within 2-3 clicks.