Transportation & Logistics

AI can play a pivotal role in delivering goods in a faster, safer and more transparent way. Demand, freight and volume characteristics change constantly, which puts real pressure on transportation and logistics companies.

Machine learning tools can inform strategies and enhance real-time decision making related to issues like warehouse locations, availability, costs, and routes.

Demand forecasting

Machine learning can analyse customers' historical data in real-time so that it can respond to demand fluctuations faster.

Manufacturers can better optimize the number of dispatched vehicles to local warehouses and reduce operational costs since they improve their manpower planning, warehouses can reduce the holding costs, and customers are less likely to experience stockouts.

Supply planning

AI can help businesses analyse demand in real-time so that organizations update their supply planning parameters dynamically to optimize supply chain flow.

With dynamic supply planning, businesses use fewer resources since dynamic planning minimizes waste.

Dynamic pricing

Dynamic pricing is real-time pricing where the price of a product responds to changes on demand, supply, competition price, subsidiary product prices.

Machine learning can analyse customers' historical data in real-time so that it can respond to demand fluctuations faster with adjusted prices.

Predictive maintenance

Predictive maintenance is predicting potential machine failures in the factory by analyzing real-time data collected from sensors in machines.

Machine learning-powered analytics tools enhance predictive analytics and identify patterns in sensor data so that technicians can take action before the failure occurs.

Damage detection

Damaged products can lead to unsatisfied customers and churn.

Computer vision technology can help identify damages, determine the damage depth, the type of damage, and take action to reduce further problems.

Route optimization

AI can help businesses analyse and optimize routes.

Businesses can reduce shipping costs and speed up the shipping process.

Automate back office tasks

There are numerous logistics related forms like bill of lading from which structured data needs to be extracted. Most businesses do this manually.

By automating the process, your company can auto-generate regular reports that are required to inform managers and ensure everyone in the company is aligned. Easily auto-generate reports, analyze their content, and email them to relevant stakeholders.

Voice assist

Voice control gives its users accurate access to information at any stage of the transportation and logistics process, through hands-free, intuitive and efficient interactions.

Customer service chatbot

Customer service plays and important role in logistics companies since customers will contact companies for any issue they experience in delivery. Customer service chatbots are capable of handling low-to-medium call center tasks such as requesting a delivery, amending an order, or tracking a shipment.

Chatbots are also valuable tech to analyze customer experience: by analyzing chat transcripts businesses can better understand their customers and improve the customer journey.

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