Demand Forecasting


Alyce for Demand Forecasting transforms what is often a complex, labor-intensive, and exceedingly slow, rule-based process into a simple, automated, near real-time, flow — which increases forecasting success.

Super cool, right?


Retail Supply and Demand photo

Demand forecasting is a key step in the manufacturing process. 

For some industries, this may mean looking many months — or years — into the future. This is especially true if manufacturing cycles are long. One misstep in the forecasting process could lead to significant investments in supplies, equipment, and factories that ultimately fail to produce ROI.  

Many companies are still relying on complex demand forecasting processes that are generated from the bottom, up. Often, this is a byproduct of assumptions made by one's sales force, marketing team, manufacturing team, product management team, and other internal stakeholders.  For mid to large companies, the simple act of gathering this information and turning it into an actionable plan is arduous and time-consuming. By the time the forecast is complete, the information is already out of date.

It's not ideal.

Demand Forecasting Image 1
Industrial Image

My crew found that developing predictive analytics to forecast demand greatly improves the forecasting process, while also making a once laborious, multi-month process nearly instantaneous. My unique algorithms enable "what-if" scenarios that can be explored in real time, so that a robust plan can be developed, resulting in a more accurate and efficient strategy.

Our rapid and predictive approach improves demand forecasting by:

  • Turning a multi-month marathon full of biases into a real-time, data-driven, objective process 
  • Improving product allocation, reducing waste and carryover, and increasing realized price   
  • Empowering you to deliver the right product to the right customer at the right time … priceless 

My solutions deliver groundbreaking predictive insights that create mutual value for customers and suppliers.

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