How Artificial Intelligence Helped Improve Transportation Visibility

Transportation and logistics businesses constantly seek innovative strategies to boost flexibility, sustainability, and transparency. Emerging technology is essential to address these issues and can help supply chain companies financially and operationally. With real-time supply chain visibility, companies can increase efficiency, improve ROI, and save costs. Emerging technologies such as machine learning and artificial intelligence are being used effectively across industry to achieve this. These are helping them in a deeper visibility and forecasting solution which enables them in taking timely and near accurate decisions. Industries were mostly dependent upon Business Intelligence solution where they used to see real time operational dashboards, charts to gauge the real time efficiency and productivity, with AI and ML, it has become easier for organizations to have a future visibility forecasts and predictions based on historical information which helps them in taking proactive and corrective measure and effective planning. Using our supply chain management services, and Digital Factory, our clients have noticed a 15-20% reduction in OTD (order to delivery) time, increased TAT (turnaround time), operational effectiveness, and customer satisfaction.

Why should you contact us?

We have been helping companies navigate their digital transformation journey by assisting in overcoming business challenges in the logistics and supply chain sector. Offering industry-specific, advanced technology driven, and top-class services, we offer an optimistic approach, consistency, and innovation-led solutions. We allow constant evolvement to meet changing customer landscape. We do not shy away from going above and beyond the promised deliverables whenever needed.

Key industry pain points

Lack of real-time visibility

Inaccurate ETA predictions

Increased downtime and dwell

A high amount of time spent on paperwork and audits

High time for order execution time (OET

Erroneous demand forecasts and resulting losses

How advanced AI helped customer detect anomalies and improved visibility ?

Machine learning helped with customizable notifications for route updates and deviations, extended stops, downtime, bill and license expirations, clearance documentation updates, etc. With real-time supply chain visibility into their freight on the road, the customer got a bird's-eye view of their entire logistics operations. This also allowed them to spot lag, risks, and other anomalies to improve efficiency and performance.
Artificial intelligence for supply chain enabled combining yard management, fleet maintenance and management, container and load tracking, warehouse management and other transportation, operations management, and CMS systems. The logistics business also leveraged real-time supply chain visibility and accurate predictive data to expect risks and communicate with consumers, leading to better support functions and improving the consumer experience .
To enable transformation through advanced analytics and artificial intelligence for supply chain, Digital Factory services helped identifying the root causes and anomalies behind and within various processes. It achieved this by recognising prevalent patterns through data gathered via GPS, CMS, TMS, and all the other supply chain management software or systems a logistics company needs.
Using data to get end-to-end 100% real-time supply chain visibility into every process and work order, we enabled improved TAT at loading and unloading times, as well as when vehicles were on the road. It also helped the company with accurate ETA predictions. They pooled different data from various systems in one place and helped decrease errors as well.

What can we deliver ?

Reduced OTD time by 15-20%
Improved TAT by 20%
Improved Customer Satisfaction)

How Artificial Intelligence Helped Improve Transportation Visibility