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.
Case Study: How to Increase Sales Effectiveness by 25% in FMCG This is a story about effective field agent performance optimization and its resultant benefits. According to one of our major clients in the fast-moving consumer goods (FMCG) sector, field sales effectiveness was something that they wanted to increase as soon as possible. […]
While your field agents move around, make sure their time is well utilized by topping up your field service management with real-time workforce tracking. This adds a layer of agility and responsiveness in your services. The manager can react in quick time in case of any delay or service disruption. The faster reaction time also gives the companies the ability to capture key market insights at the right time.
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?
White Paper: The Assumption Within AIDAS is Unsaid but Profound. This idea that the expectation stage of consumers can be generalized across industries and timelines, is prone to error. How does this generalization affect the decision flow of consumers? To answer this, I will help you look closely at these assumptions.
The field workforce optimization industry is set to grow more than 30% year on year, reaching a high of $ 20 Billion by 2020. Field workforce optimization is moving towards automation post 2017. So now that you are more aware of the value of field workforce optimization, how are you going to implement it?
The game between customer perceptions and a company’s value proposition is an interesting one. At times, a company’s technology defines the customer’s perceptions, and at other times, the customer’s imagination drives company research.
Dhruvil’s eventful journey began from a vision, grew into a dream, took form as a venture, and achieved explosive growth as the biggest name in SaaS based field workforce optimization and logistics planning. Next time you feel that your logistics and field service planning needs optimization…