Intelligent demand planning for a more efficient world
It is estimated that companies lose 3% of revenue due to inventory disruption and increase 5% their costs due to inefficiency in demand forecasting. Calix is an intelligent solution developed to solve current issues based in an innovative approach, simplifying the process and reducing planning cycles meanwhile that increase up to 30% the forecast accuracy.
The journey to Intelligent Forecasting
There are many challenges (and inefficiencies) in the current forecasting context. Much of the effort and resources are currently devoted to operational situations. Calix takes planning to the next level, allowing companies to spend more time strategizing and optimizing planning to improve results by tackling forecasting challenges on each of the fronts below.
Data
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Difficulty in acquiring and processing data, due to the large volume and limited resources. With Calix, you will have access to a solution for handling large volumes of data in a personalized way, not depending on other internal resources to generate your patterns.
Forecast
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Low automation and limitation of tools making different problems to be solved with the same formula. Calix uses an innovative approach to generate more accurate forecasts, without the need to use data that does not add real value to the forecast. Going against the grain of the market, Calix seeks to find models that make sense for each group of SKUs, to obtain the best results for each different business problem.
Review
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Changes in direction are always traumatic, as there is no registration or structuring of processes, which requires huge rework. Calix keeps track of all forecasts generated in each period, what was executed, and changes to the forecast to reach consensus. In addition, forecast analysis allows for more informed decision making about changing a SKU plan.
Management
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As the process is neither agile nor formally documented, it is difficult to understand or attack root causes. Calix has the monitoring of the most important KPIs for demand and the follow-up can take place in real time or near real time. In addition, the on-demand level of analysis allows you to generate actionable insights as quickly as possible to increase problem-solving efficiency.
Learning
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With low levels of governance, all the knowledge generated is lost. In addition, much of the qualitative knowledge is outside the system and there is disconnected information. With the structural way of presenting demand analysis in Calix, it is easier to learn about demand from the perspective of each need to be satisfied. The analyzes are static, so the knowledge is recorded so that it can be used by everyone who needs it.
Difficulty in acquiring and processing data, due to the large volume and limited resources. With Calix, you will have access to a solution for handling large volumes of data in a personalized way, not depending on other internal resources to generate your patterns.
Low automation and limitation of tools making different problems to be solved with the same formula. Calix uses an innovative approach to generate more accurate forecasts, without the need to use data that does not add real value to the forecast. Going against the grain of the market, Calix seeks to find models that make sense for each group of SKUs, to obtain the best results for each different business problem.
Changes in direction are always traumatic, as there is no registration or structuring of processes, which requires huge rework. Calix keeps track of all forecasts generated in each period, what was executed, and changes to the forecast to reach consensus. In addition, forecast analysis allows for more informed decision making about changing a SKU plan.
As the process is neither agile nor formally documented, it is difficult to understand or attack root causes. Calix has the monitoring of the most important KPIs for demand and the follow-up can take place in real time or near real time. In addition, the on-demand level of analysis allows you to generate actionable insights as quickly as possible to increase problem-solving efficiency.
With low levels of governance, all the knowledge generated is lost. In addition, much of the qualitative knowledge is outside the system and there is disconnected information. With the structural way of presenting demand analysis in Calix, it is easier to learn about demand from the perspective of each need to be satisfied. The analyzes are static, so the knowledge is recorded so that it can be used by everyone who needs it.
