Forecasting-as-a-Service

Forecasting is about predicting the future based on past demand patterns plus other correlating internal and external factors. Additional data like opportunities or the open order intake can help to shape the demand in the short-term. It is the fundamental basis for effective, efficient and accurate supply chain planning and a crucial input to many subsequent supply chain processes from supply planning to production and transportation planning as well as financial business planning. ​

When done well, it ensures you have the right amount of supply available to satisfy the demand of your customers – underestimating your customer’s demand leads to missed opportunities and ultimately to lost revenue, overestimating demand increases costs and working capital. Effective forecasting uses relevant internal and external data to plan demand estimates across the supply chain – from customer needs all the way down the supply chain to raw materials. ​

In a volatile and complex world static, naive forecasting leads to insufficient results. Algorithms used need to be continuously managed and adapted to changing situations. With Forecasting-as-a-Service, our data scientists always apply the latest machine learning algorithms and deliver insightful, easy to use analytics dashboards to interpret and understand the forecast figures – which is a major pre-requisite for further usage.​

Does this sound familiar?

Demand forecasting tools require continuous maintenance from experts, and implementation and maintenance are expensive.

I do not have the expertise to do accurate forecasting, nor the time to maintain demand forecasting tools (and I do not want to employ someone fulltime to do so).

I do not have the know-how to continuously update my M/L forecasting models to volatile (VUCA) realities.

I don’t have the know-how to interpret the data and take action on these insights.

I do not have the right tools to apply modern algorithms beyond statistical forecasting.

Forecasting challenges we encounter often.

Does this sound familiar?

  • Demand forecasting tools require continuous maintenance from experts, and implementation and maintenance are expensive.
  • I do not have the expertise to do accurate forecasting, nor the time to maintain demand tools (and I do not want to employ someone fulltime to do so).
  • I do not have the know-how to continuously update my M/L forecasting models to volatile (VUCA) realities.
  • I don’t have the know-how to interpret the data and take action on these insights.
  • I do not have the right tools to apply modern algorithms beyond statistical forecasting.

Benefits

Up to 15% forecast accuracy increase

Planners can concentrate on products where human judgement is a real value-add

Our insightful dashboards help you to take action

Our analytics dashboards help to drive data-driven decisions.

Up to 10% additional sales realization potential

Up to 20% improvement on working capital.

How it works

Our AIO platform provides you an automated, accurate and plausible rolling forecast on the required level of detail on a regular recurring basis. ​For the initial setup we will define the process of data provision and integration together, whilst making sure that we use the right data.​

Our AIO forecast engine calculates your forecast figures with best-fit models and permanently optimized parameters. The forecasting results are validated in three ways: technically but also in terms of plausibility and quality. An appealing visualization of the forecasting figures will allow you to validate and interpret the data as basis for further usage. Finally, we provide you the forecast figures as you need them.​

With our managed service you always get the best possible results – our data scientists with a strong supply chain background are continuously managing and improving the algorithms used, which gives you better results.​

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Improve your Forecasts today.

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