• Technology: Amazon has deployed a range of technologies in its warehouses, including robotics, machine learning, and artificial intelligence.

• Application: Automated robots are used for tasks like picking and packing, while machine learning algorithms optimize inventory management and predict demand.

DHL uses IoT technology for inventory management and forecasting demand in their warehouse.

Leveraging automation for repetitive or physical tasks in nearly every part of warehouse operations. This frees up humans for more complex, value-adding duties. Fully implemented at a Smart Warehouse in Beringe, The Netherlands.

examples:

• Autonomous mobile robots (AMRs) work alongside humans to improve existing processes or create new ones.

• By implementing wireless tracking technology, the movement of equipment and people through the warehouse can be optimized - which includes more intelligent efforts at maintaining safe social distances in the workplace.

The combination of big data and loT technology allows Tetra Pak to troubleshoot problems in real time. For instance, warehouse supervisors can use data to improve traffic flow, resource planning, and more efficiently make work assignments. The tech also reduces collision risks and monitors areas with restricted access through management alerts.

Goods are shelved within half an hour of arrival, and outgoing deliveries are prepared in just over an hour and a half.

The warehouse launch fits with other investments DHL Supply Chain has been making over the past few years. Most recently in May, the company expanded the number of warehouses that use its "smart glasses" vision picking tool, which implements augmented reality technology. In December, it announced plans to implement several emerging technologies in 350 of its 430 North American facilities, including augmented reality, loT and robotics process automation.

Last November, the company ordered 10 Tesla Electric Class 8 semi-trailer trucks, which include self-navigation technology, to address a driver shortage. Earlier in 2017, the company also launched a pilot program testing robotic workers in warehouses and implemented loT at an automotive site in China.

1. Automated storage and retrieval systems.

   Automatically store and retrieve goods from designated locations within the warehouse, freeing up human workers to focus on other tasks.

2. Intelligent conveyor belts

   Advanced conveyor belts equipped with sensors and machine learning algorithms to sort and route packages to their destination.

3. Picking robots

   Robots using machine learning algorithms and advanced sensors to identity and pick items from shelves and place them in the correct pins for packing and shipping

4. AGVs

   Move around the warehouse floor, transporting goods and materials to the appropriate locations

Currently, Toll pilots new technology to enhance manual labour efficiency and safety. The Healthcare Logistics Hub, powered by SSI Schaefer, features state-of-the-art systems like the SSI ORBITER® Shuttle System and Automated Guided Vehicles for top-tier warehousing.

AutoStore will enable robots to automatically pick up goods from the high-density automated storage warehouse in response to customer orders for home furnishing accessories   and small items. With Au-toStore's automatic pick-up of small delivery items in the Kanto region, work can now be completed about eight times more efficiently than the manual work previous-ly carried out by co-workers

• Advanced Picking Systems

They implemented advanced picking systems that use augmented reality (AR) and wearables to guide workers through the warehouse in the most efficient path, reducing the time it takes to gather items for an order.

• Integration with Online Retail

Walmart's smart warehousing efforts are closely integrated with its online retail platform. This ensures that online orders are processed and shipped as efficiently as possible, improving customer satisfaction with faster delivery times.

2)By improving logistic capabilities we are able to reduce complexities and vulnerabilities in a supply chain. for example, by introducing big data computing, we will be able to create forecasts and predictions based on past data. this can allow us to guage the potential risks, provide greater visibility and allow for optimized decision making for better supply chain performance

Improving supply chain capabilities increases efficiency and reduces operating costs such as warehouse inventory costs due to increase of JIT capabilities. It also reduces delays due to inefficiency planning. With can improve customer sastifaction