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
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. […]
Fast Moving Consumer Goods companies across the world are building markets as they grow towards their ambitious targets. Some of these companies have high brand loyalty such as Johnson & Johnson, Nestlé, Mondelēz, P&G, Unilever, Pepsi, Coca-Cola, and even Philip Morris. Healthy distribution network is the most critical factor in guiding your products reach their intended users.
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.
Consider the transportation industry. Transportation is no longer a support function, it is a necessity. The past year saw the highest amount of vehicle sales in most developed nations. The United States had more than 17.5 million car sales in 2016. Consumer movement is catching up with logistics transportation in some places and outperforming them in other places.
People have talked about the Internet of Things (IoT) in diverse terms, but what is it? IoT is the interaction and exchange of data amongst various connected devices and entities over the Internet, which then function towards singular goals. It’s like having a virtual connected universe, where you customize almost all your electronic interactions.
Remember the viral video of Travis Kalanick from earlier this year where he is berating an Uber driver to take ownership of his own problem. Well we all know that video as the start of the derailment of Uber’s public relations. It’s easy to now imagine the company as being self-centered and culturally egoistic.
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.
A myriad of technology solutions have been built keeping this dilemma in mind, and organizations that have sensed the dire need for on field workforce management with real-time visibility, route optimization & auto scheduling, have taken to such solutions very well.
‘Industry Trends: Field Service Optimization’ is by far the most engaging piece of research I have come across in recent times. The concepts emphasized in the white paper have a little for everyone. The white paper answers some of the basic questions revolving around field service management.