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A Story of Throwing the Baby Out With The Bathwater in Supply Chain Planning

Supply Chain Shaman

The organization is not clear on the role of the forecast. In discussions, the role of the forecast and the budget are intertwined without clarity. The organization abandons the measurement systems for forecast accuracy, value-add from the process, and bias. The goal of the conference is to Imagine the Supply Chain of 2030.

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Go Green or Go Home: Why Sustainability in the Last Mile is Crucial for Your Business

Locus

dollars by 2030 , increasing at a compound annual growth rate of 21.6% from 2022 to 2030. At the same time, the demand for urban last-mile delivery is forecast to grow by 78% by 2030 , leading to 36% more delivery vehicles in the world’s top 100 cities. Book a demo with us! Schedule Demo. billion U.S.

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Cement Logistics Planning: 3 Top Strategies To Avoid Stockouts With AI

ThroughPut

By United Nations estimates, the world will have 43 megacities with populations exceeding 10 million by the year 2030. Accurate Demand Forecasting. Demand forecasting in the construction industry depends on a variety of factors as below: (i) Quantum of Construction Work. Enhancing Supply Chain Transparency.

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Zero Waste Supply Chain Management in Food Industry with AI

ThroughPut

According to BCG , by 2030 annual food loss and waste will hit 2.1 With the misuse of resources becoming a global issue, the UN’s Sustainable Development Goals listed a target of reducing food loss and waste by half by 2030. It can accurately forecast customer demand with the help of advanced algorithms to stop overproducing goods.

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Forget the Supply Chain of 2020. Here are 3 Things That Supply Chains Need Today.

Arkieva

While it is nice to envision supply chains in 2020 or 2030 the truth is; for many manufacturing businesses, discussions about future supply chain innovations, often leads to a “yeah.right,” smirk by supply chain executives – this with good reason. Improving Forecast Accuracy. Data Cleansing and System Integration. Source: Arkieva.

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Bringing Order to Chaos: Last-Mile Delivery Costs and How to Reduce Them

Locus

Emissions from urban last-mile deliveries are predicted to increase by 30% in 100 cities globally by 2030. By forecasting demand and optimizing delivery schedules and routes, businesses can enhance efficiency and reduce last-mile delivery costs. Rising congestion costs due to increased delivery volumes are also a significant factor.

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IoT Order Buttons Are Set to Revolutionize Your Supply Chain: Here’s What You Should Know

Arkieva

While IoT buttons are predicted to create a better customer experience, easier access to order history which could affect demand and forecasting decisions, the adaptability of IoT buttons both on the customer and manufacturing side is in the infant stages. Request a Demo of The Arkieva Supply Chain Software Suite.

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