Given highly competitive market dynamics and complex demands from customers, companies need a faster time to market, easier regional and channel expansion and greater provider and customer satisfaction.
Using AI for digitizing and integrating transaction-intensive processes, businesses can gain visibility in the critical areas of their logistics to optimize them. Additional advantages of using an AI system include reduced manual entry and data entry errors, improving data management, reduction in the transaction costs and speeding up receipt processes.

Future of Logistics

Some of the major problems that are being addressed by AI in Logistics across the globe are:
Capacity planning and predicting demand
It is essential for network movement to remain efficient when the demand for specific goods increases. Using advanced statistical modelling and AI to forecast demand.
Network Management and forecasting
AI tools help in predicting any fleet delays, accidents, driver behaviour (excessive breaking), etc that allows the firm to make any proactive adjustment.
Improved Customer Service
Companies are developing virtual assistants to allow more complex customer dialogues by using automation or chatbots for customer interactions.
AI uses Computer Vision, NLP and blockchain to process the data to find the best option to reduce procurement costs.

Why IntelliHub AI?

We believe in building a smart supply chain and logistics for the future using artificial intelligence, IoT (Internet of Things), and blockchain to build a digital ecosystem central to an intelligent supply chain.
IntelliHub's AI solutions like smart shipment and fleet management can give you more visibility on the purchase order status, the timing of future shipments and invoices. Our AI systems can assist you in identifying problems such as imperfect orders, late shipments, mismatched invoices, and double payments.
Improved identification of anomalies, with the added level of transparency and visibility of the supply chain and logistics, you can resolve issues before they impact your customers.

Use Cases