Agenda

DHL Case Study: How Machine Learning And Advanced Predictive Analytics Improves Demand Forecasting And Production Planning

AI is capable of analyzing enormous volumes of data, thus enhancing demand forecasting accuracy. It provides an endless loop of forecasting, continuously adjusting the forecast based on real-time sales, weather and other factors. At DHL, advanced analytics determine complex correlations between the wealth of data available, equipping planners to make better decisions in areas that are traditionally challenging such as predicting promotional lift and product introductions.

AI: Emerging Opportunities & Challenges For Asia

• How customer experience, technology investments, barriers to innovation, partner connectivity, and date interplay in supply chain and logistics innovation
• Explore the growing demand for AI visibility and analytics
• How trading connectivity can lead to better supply chain performance

New Technologies Transforming The Future Of Supply Chain Today:

• Autonomous Robotics In Humanless Warehouses

• AI And Machine Learning In Supply Chain

• How Frictionless Supply Chain Help To Improve Customer Experience

• Driving Profitable Growth Through Using Artificial Intelligence In Supply Chain

Optimizing Supply Chain With Real-Time Predictive Analytics

The power of blockchain technology is even more present in supply chains when combined with the latest IoT technologies to capture supply chain data at the point of origin. Every single product worldwide can be assigned a cryptographic unique identifier at the start of the chain, wherever it is sourced or created. This unique code is tied to a utility token that is time-stamped as it moves through the supply chain, with the entire life cycle of that item stored on the blockchain archive. Smartphone users can check the unique ID to reveal its history and its origins to ensure it was responsibly sourced or produced.

Fire Chat: Building A Digitally Ready Autonomous Warehouse

Inbound and at the warehouse, increasingly intelligent SKU-level automation like goods-to-person and goods-to-robot is redefining critical SKU metrics. Outbound and at the dispatch, automating the capture of packed parcel and pallet order dimensional data is more important than ever. Learn more about how Diverseco is helping clients to supercharge their operations with trustworthy data that lets them boldly go into an Industry 4.0 digital future.

According to Toll, when autonomous forklifts are combined with new on-site technology – such as automated storage and retrieval systems and ergonomic goods-to-person picking stations – improved automation has led to a reduction in manual intervention by 70 percent and improving safety for the site’s 200 workers.

Realizing the Benefits of Supply Chain Control Towers with IoTs: How Control Towers Can Enhance Supply Chain’s Agility, Visibility and Collaboration

Many companies are still struggling to achieve end-to-end visibility in their supply chains. Supply Chain control towers can now enable  cross-organizational collaboration, across multiple tiers of customers, suppliers, and logistics service providers. This enables supply chain managers to not just address issues directly under their control, but to work with business partners to solve a much broader range of problems that occur in all parts of the supply chain. Real-time networks eliminate information delays; provide end-to-end visibility, and better optimization thanks to fresh, big-picture data that reflects the reality of the supply chain now. They also provide the full context for better decision making, including providing actual data on orders, inventory, shipments and capacity constraints across all nodes of the network.

Unlocking The Future Of Procurement & Spend Analysis With Process Mining And Advanced Analytics