LogiNext’s field workforce optimization is machine learning-enabled planning engine which pulls in all the constraints such as preferred time slot visits, avoiding repeat visits, avoiding overlap or mirroring, and also to optimize the service time or time spent at each outlet
Static planning is a function of yesteryear. Wake up to new-age dynamic route planning for your field agent management. Most of Fortune 500 companies are maximizing the value of their active field agents using intelligent planning and optimization. It’s the most appropriate tool at the hand of managers to reduce costs and improve efficiency.
Enterprise mobility solutions are unlocking a new phase of benefits with respect to resource movement efficiency. With multiple industries and markets getting more and more focused on consumerism while finding new and better ways to satisfying the increasing global retail and e-commerce demand.
Traditional trade occupies close to 90% in key developing markets. By leveraging cloud-based technology, last mile delivery can be optimized for such distribution networks, bringing in organized patterns within the industry and generate more value for all the stakeholders involved namely the retailers, the distributors, the manufacturers, and the end-customers.
Many industry experts have stated that their field workforce management leaves them with a lot to desire for. As we know the first step to effective field service management is getting the right person for the work. Once you have that, things should be a cakewalk, but it often isn’t. Why does this happen? And what can you do avoid that?
All this has built up ‘The Last Jedi’! A Long Time Ago in a Galaxy Far Far Away… there were many instances of logistics management going haywire. Along came an up and coming stalwart of the free republic, LogiNext, who set things right. You can find a lot of references to the positive influence of the field workforce management experts in the Star Wars universe.