Supply Chain and Logistics

case study : predicting wear and damage in the logistics to reduce costs

A popular furniture and home furnishing manufacturer in Japan collaborates with multiple distributors for product sales. Right across the local territory, the products of home furnishing and furniture have garnered a huge popularity among the customers, building a trusted partnership for over 10 years with them. Customers are excited when new product designs arrive and …

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case study: supply chain reduces inventory activity With SynergyLabs AI solutions

Customer manufactures containers in Wisconsin. It is a huge all day work that requires precision and caliber to run the operation smoothly without finding any barriers. They also know different traits of improving customer experience. Being in the operation more than 28 years, the surface of doing business has changed and so has the norms …

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Use cases- How AI is transforming the Supply Chain Operations

The unprecedented volume of data and AI are the biggest use case to improve the operational efficiency in Logistics. The industry is dependent on many moving parts that can create operation jolt in the supply chain. However, the application of AI combined with big data; the complex traits of logistics can be transformed. When leveraging …

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Top 4 ways AI is changing the Logistics operations- Use Case

Artificial intelligence is a buzzword in the current scenario of logistics management. Its widespread implementation across various verticals is so apparent today. The exciting implementation of AI technologies by Amazon to opt for automated warehouse solutions, last-time delivery drones by leading retail stores like Walmart and Amazon- all have augmented applications. Complex skills required to …

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Logistics Planning With Augmented Intelligence – An enhanced Use case

Artificial intelligence is so obvious in various sectors today. And logistics is one such area that can leverage this technology to its advantage to the fullest scopes. For say, there are so many manual jobs involved in the supply chain and logistics that are time-consuming, error-prone and expensive including warehouse sorting, picking, driving, last-mile delivery …

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How AI-powered predictive analytics can transform today’s complex supply chain – use cases

A dozen factors decide the faith of successful logistics operations. Unless it maintains accuracy, timeliness, and resiliency, it fails to accomplish distribution and customer demands. But, logistics is not only about loading goods and delivering them at customer points. It has more to do with the interest of mankind.   Reports suggest that the logistics industry …

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Case Study: How an owner of a warehouse management improved their operations using Predictive Analytics

Customer is a renowned apparel retail manufacturer working with more than 40 manufacturing facilities around the territory of Alabama. Customer has been proactive to analyze opportunities for its operation and want to tap into potential from their new business ventures. Challenge: When running large numbers of supply chain units, it is inevitable to possess huge …

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Case Study: Enhancing transit of information in procurement services with Artificial Intelligence

Customer runs beverages manufacturing operations in Northern part of Norway. The business has experienced a good growth over the last five years and it has been since going strong and running a successful business at the local level. With more than fifteen distributors under its belt, customer wants to improve delivery services while planning to …

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Case Study: Improving demand supplies in logistics using AI powered Demand Forecasting

Customer is an Australian based home furnishing goods supplier. He has built an expanded network of distributors in many parts of the city of Brisbane. As there remains a surplus demand all through the peak season mostly in the festivity season, customer has to work round the clock. His logistics need to remain active all …

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