Case Study: Predicting yields in engineering and manufacturing company

Problem:

The company faced significant challenges in daily operations due to a lack of yield prediction. This issue hindered the accuracy of project bids, potentially leading to financial losses and missed opportunities.

Solution Proposed by AidaDataConsultancy:

1. Initial Analysis: We conducted a comprehensive audit of existing data systems and discussed the specific challenges and objectives of the company with key stakeholders.
2. Development of a Predictive AI Model: Collected and analyzed 10 years of historical data, determined the necessary number of columns and fields per project, and developed an AI model that predicts project yield in euros based on key fields entered by the sales employee.
3. Implementation and Training: Implemented the model on a web page accessible to employees and provided training to staff to ensure effective adoption and optimal use of the tool.

Results:

• Accuracy in Yield Prediction: The company can now predict yields more accurately, significantly improving the quality of project bids.
• Time Savings: The automation of the prediction process has reduced the time needed to prepare bids, allowing the sales team to focus on more strategic activities.
• Improvement in Profitability: With more accurate bids, the company has experienced an increase in the success rate of awarded projects and an overall improvement in profitability.