
Challenges in implementing indicator analysis in the area of stock management
17 January 2025
Digital Twins in the Supply Chain
3 March 2025

Challenges in implementing indicator analysis in the area of stock management
17 January 2025
Digital Twins in the Supply Chain
3 March 2025Digital Tower in the Supply Chain

The Digital Tower in Supply Chain is an advanced supply chain management center that uses digital technologies, artificial intelligence (AI), real-time data analysis and automation to monitor and optimize logistics operations. The Digital Tower acts as a central platform that integrates data from various sources (including ERP, IoT, GPS, e-commerce platforms) to enable better control, planning and real-time decision-making. In today’s episode of “Over Coffee About Supply Chain,” we would like to address the use of Digital Tower in supply chain optimization.
Translated with DeepL.com (free version)
Using Digital Tower to optimize the supply chain
- Improved visibility and monitoring
- Digital Tower provides full transparency throughout the supply chain, monitoring the flow of goods, inventory levels, delivery times and potential risks.
- By integrating data in real time, it is possible to respond quickly to unexpected events, such as transportation delays or production failures.
- Stock optimization and demand forecasting
- Advanced analytics allow for better demand forecasting, minimizing the risk of excess or out-of-stock.
- Digital Tower enables dynamic adjustment of inventory levels to changing market conditions, reducing storage costs.
- Automation and process improvement
- The use of AI and machine learning makes it possible to automate many processes, such as resource allocation, optimization of transportation routes and delivery scheduling.
- Robotization and RPA (Robotic Process Automation) can support administrative operations, such as invoicing and order management.
- Faster response to disruption
- Digital Tower allows you to identify risks in the supply chain and propose alternative solutions.
- It is possible to simulate various scenarios (“what if”), facilitating better decisions in case of unforeseen situations (e.g., strikes, natural disasters, problems with suppliers).
- Integration and collaboration in the supplier ecosystem
- Digital Tower enables trouble-free communication between different participants in the supply chain (suppliers, manufacturers, logistics operators, customers).
- It improves order management, transportation scheduling and cooperation with business partners.
- Sustainability and CO₂ reduction.
- Optimizing transport routes and loads reduces CO₂ emissions and makes more efficient use of resources.
- Digital Tower helps companies implement ESG strategies, for example, by monitoring the carbon footprint of the supply chain.
Summary
Digital Tower is a key tool for modern companies looking to improve the efficiency, agility and resilience of their supply chain. By leveraging advanced analytics, automation and real-time data integration, organizations can significantly reduce operating costs, increase service quality and respond more effectively to dynamic market changes.
DATURE ENTERPRISE software uses artificial intelligence and machine learning in the process of demand forecasting and inventory optimization. The Dature system allows information about the supply chain to be collected and analysed and used to calculate optimal stock control parameters. The system provides indicators that measure the effectiveness of stock management from various points of view, so that the current and future situation of the company can be properly assessed.
The system provides methods for forecasting seasonal demand and demand influenced by calendar days. Inventory management methods allow for both pre-season inventory building approaches, dynamic safety stock control and JIT.
TheDATURE application ENTERPRISE can also use expertise in the demand forecasting process. Authorized users can enter expert forecasts and adjust statistical forecasts with them. The process is fully auditable in terms of who changed the forecast when and how. This makes it possible to track the accuracy of both statistical and expert forecasts. As a result, the organization learns how to forecast more accurately and improve process efficiency.
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TAGS
- #AI
- #artificial-intelligence-from-A-to-Z
- #bullwhip-effect
- #covid19
- #demand-forecasting
- #forecasting
- #Intelligent-Development-Operational-Program-2014-2020.
- #inventory-management
- #inventory-optimization
- #NCBiR
- #neural-networks
- #out-of-stock
- #outllier
- #overstock
- #przy_kawie_o_łańcuchu_dostaw
- #safety-stock
- #safety-stock
- #seasonal-stock
- #service-level-suppliers
- #stock-projection
- #stock-projection-over-time
- #supply-chain
- #supplychain
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