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Optimize Demand Planning with AI: Plan Product Mix & Sales Forecasts Effectively

ThroughPut

Earlier in the day, demand planning was a guessing game that relied more on intuition, instinct, and inclination. But with the advent of the information economy and Artificial Intelligence (AI), this process became data-driven. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

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Real-Time Demand Planning Software – Delivering Sanity and Stability in Everchanging Market Conditions

ThroughPut

How transparent are they in terms of capacity, delivery times, and flexibility of requirement fulfillment? In Sales: How flexible is your demand planning and order fulfillment in light of high market variances? How quickly can you pivot to sudden spikes or drops in demand? Can you forecast accurately for the near term?

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Optimize Demand Planning with AI: Plan Product Mix & Sales Forecasts Effectively

ThroughPut

Earlier in the day, demand planning was a guessing game that relied more on intuition, instinct, and inclination. But with the advent of the information economy and Artificial Intelligence (AI), this process became data-driven. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

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Dealing With The Supply Chain Gloppy Mess

Supply Chain Shaman

Food and beverage companies are experiencing double-digit demand. Most are capacity constrained. For example, Campbells Soup is struggling to keep up with the demand for soup, potato chips, and cookies. There are not enough containers in the world to meet the pending demand. Sales are up 12%. Supply is the challenge.

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Laying the Foundation for Advanced Supply Chain Planning Capabilities in the F&B Industry

Logility

Then as is now, there are certain critical components of a strong supply chain planning foundation. In supply chain planning that equates to developing robust demand planning capabilities. A highly accurate forecast of demand makes all supply chain planning and execution more efficient and effective.

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Solving the Supply Chain Planning Puzzle

Logility

Complexity opens risks of miscommunication and disruptions, often from incorrect or incomplete data. Clean and consistent data is required to harness the power of investments in analytics, digitization, optimization, machine learning, big data and other advanced supply chain capabilities.

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Tata Steel Europe’s Connected Planning Journey

Logistics Viewpoints

The plan needs to encompass what products will be produced at the product family level (similar products manufactured using the same equipment), what facilities will produce those products, what customers will get them, what distribution facilities will do post-processing, and many, many more details as well. The company’s financials?