A Quick Guide To Embracing a Predictive Visibility Platform

The rapid growth in demand for lightning-fast deliveries and the increasing need for contract logistics are bringing in new dimensions to the transportation industry. Businesses will need to invest in customer-centric and flexible logistics platforms to stay relevant in the delivery market, keep customers happy and improve margins. 

A predictive visibility platform can be of immense help here. From empowering enterprises to cope up with changing business environments to meeting evolving customers’ expectations, a predictive visibility platform will empower your brand to face modern logistics challenges head on. But not all such platforms are the same, hence it’s important to ask yourself these five key questions before investing in a predictive visibility platform.

1.Is a predictive visibility platform adaptable to changing business needs?
Business demands, environmental regulations and customer expectations are continuously changing. A predictive visibility platform can easily respond to business demands like optimising logistics costs, increasing customer satisfaction, helping find new revenue streams and more. Its real-time routing capabilities can reduce miles traveled and shrink carbon footprint.

2.Can a predictive visibility platform scale delivery operations?
Scalability is key when it comes to delivering during peak business days. Businesses often lose opportunities to boost sales simply because they do not have the ability to scale delivery operations during holiday seasons. A predictive visibility platform that is built upon a BPM (Business process management platform) framework brings in agility into the business and can make quick changes to the business processes as per dynamic needs of the market.

New requirements like outsourcing delivery tasks and onboarding delivery executives from across multiple markets based on costs and proximity in case internal resources get exhausted, is just one example.

3.How flexible is a predictive visibility platform?
Ensuring flexible deliveries is key to improving customer experience. A predictive visibility platform can easily accommodate changes in workflow based on customer demands. This ensures that customers get a self-service delivery model where they can change the delivery time and location according to their convenience. 

4.How long does it take to go-to-market with a predictive visibility platform?
Business disruptions, long implementation cycles and the need to replace existing IT-architecture often discourage businesses from investing in new software. But in the case of a predictive visibility platform, it’s different. There are platforms in the market that can be implemented within weeks and not months. Also, it can seamlessly integrate with existing/legacy IT-systems like WMS, TMS, OMS, 3PL tools and more, eliminating the need to ‘rip and replace.’

5.How intelligent should a predictive visibility platform be?
The ability to leverage best practices from across industries is an important factor to consider before investing in digital logistics management tools. A predictive visibility platform can learn from previous challenges by analysing historical data and deliver solutions so as to eliminate the chances of facing similar challenges. This feature is key when it comes to eliminating transportation risks. The platform should be smart enough to automatically send alerts and notifications in case of any delays and exceptions. It should have geocoding capabilities to ensure address accuracy and increase first-attempt success rates. Another key aspect of a predictive visibility platform is a digital control tower. A digital control tower empowers logistics stakeholders to gain real-time visibility of end-to-end logistics operations.

There are more questions that one needs to ask, but these five are a good starting point. FarEye’s predictive visibility platform is empowering global enterprises to achieve high levels of supply chain and logistics excellence, to know how, simply signup for a quick demo here.

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