February 18, 2021

5 Tips to Freight Forwarding Analytics Success

Miles Varghese
Miles Varghese
Helping independent freight forwarders/brokers better stay in-sync, collaborate, and improve operations with their shippers/clients. Co-founder & CEO @ Cargologik.com
Freight Forwarding Analytics

Many freight forwarding and shipping companies today are experiencing firsthand the power of analytics and are seeing how it can streamline their processes from start to finish. With the right freight forwarding analytics technology in hand, it is easier to get ahead of competitors and win over customers with stellar service and results. But many companies have struggled to embrace the shift and are therefore missing out on everything data analytics has to offer. According to Business.com, “Utilizing advanced analytics-driven control metrics gives leaders the ability to monitor critical events in real-time; they also make it possible to monitor key performance indicators (KPIs) at multiple touchpoints.” Combining these metrics with freight forwarding analytics allows for a more unified approach and more successful tactics throughout the chain.

1. Implement Freight Forwarding Analytics Throughout Your End-to-End Supply Chain

In the ever-changing business environment of freight forwarding, inventory management remains crucial to the puzzle known as logistical planning. So, using freight forwarding analytics can help you achieve better end-to-end visibility along the chain network. And using software-as-a-service (SaaS) offers significant benefits, including increased, collaborative supply chain visibility

2. Simplify Use of Analytics With Actionable, Detailed Prescribed Points

It must be easy to grasp for every team member to embrace freight forwarding analytics and accept the new process. When the process is cumbersome or confusing, or workers don’t see the benefit of the results, maintaining actionable results will be challenging.

3. Connect With B2B Partners to Aggregate and Analyze Data Too

To advance the most operative model for freight forwarding analytics, businesses must see how the aggregate data fits together. The connections among partners and third parties must be clear. Without the foundation established, any data is just useless numbers.

4. Centralize Analytics Insights Within a SaaS-Based Product

Integrating freight forwarding analytics with SaaS-based data can offer reporting into the inner workings of supply chain operations, which were not easily visible before. The integration process also helps maintain efficiency and a centralized focus across the chain.

5. Leverage Digital Freight Forwarding Analytics to Enable Swivel-Chair Functionality

It is with a strong focus on data collection and analytics with which decisions can become more accurate with a focus on real-time data and freight forwarding analytics. That’s the definition of analytics in the supply chain. However, analytics must not become a burden. In this space, swivel-chair functionality means building analytics within existing tech stack systems, connecting systems, and seeing everything from a single dashboard. The setup allows for easy action with quick and easy adjustment and changes whenever needed.

Apply These Tips to Achieve Success With the Right Partner Platform Vendor

Big data is vital for all freight and logistics teams and must be a primary focus for chain leaders. Freight forwarding analytics help managers gain the visibility and insights they need to establish strong partnerships and network efficiently across the board when data-driven processes are in place. And end-to-end analytics success begins with unlocking the barriers to current efficiency and making more proactive decisions. To get started for yourself and to see how the freight forwarding industry can benefit from data analysis and real-time data tracking. Learn how Cargologik’s innovative platform for yourself with a free sign up offer.

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