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. […]
Each image holds some memory space in the delivery person’s phone and it uses some amount of data as it is transferred through the Internet to the client’s dashboard or central processing point. To ensure proper authentication, the image must have high-definition and should be clear. Storing and transferring high-def images in quick time eats up battery and data from the phone.
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.
To perfect field service automation and optimization, you must assess the knowledge base and abilities of your workforce and automate allocation of specific tasks requiring a particular set of skills to the field service professional possessing the same set. This would bring down the probability of dissatisfaction for your customer by dispatching the perfect field agent suited for the customer’s problem.
What would you do when your plans for effective field service management don’t execute as you wish them? It’s simple. Just go back to the basics and reinvent the wheel. It’s an arduous task if you stack it as such. But imagine the big names like Amazon, Google, IBM, Microsoft, Apple, or Tesla. These companies renovate to resonate with each evolution stage of its audience.
The home services (Utilities) management industry has moved leaps and bounds in terms of field agent management evolution & the adoption of Internet of Things. Connected devices, right from the appliances in your house, to the meters monitoring your usage, the collectors collating the metering information feeding it into the head-end system.
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.
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.
There is a clear and strong shift in the tide where several retail players have adopted the best features of e-commerce and turned themselves into omni-channel behemoths. What has triggered this change in fortunes for the average retailers?