The customer is one of the Top 10 cosmetic companies in the world and engages in the manufacturing, marketing, sale, and distribution of branded beauty products.The company is focused on deploying Machine learning techniques to improve their cash flow prediction process. One such use case is of Building Enterprise wide Data Lake solution for automating the need of predicting future cash flows and making insights more consumable. They contacted Brillio to get benefits of our expertise in Machine learning and Data Visualization space to execute the task.
In the consumer products manufacturing business one has to deal with lots of suppliers, vendors and specialists for certain process. The situation demands accuracy in terms of predicting the future cash flow because it gives one the current cash position of the company. Devising an AI-based solution for predicting future cash flow would thus enable an automated and reliable way. The problem is ripe for machine learning disruption. The key challenge lies in designing a solution which is efficient, consistent, accurate and adaptable in predicting future cash flow.
Step 1: Data Ingestion
Step 2: Storage, Compute & Analyze – Building Machine learning model
Step 3: Making Data ready for consumption
Achieved 81% optimization
Transformed a completely manual effort process (8 hours) and refreshed it into a completely automatic process (1.5 hours)
Real time Insights
Auto-refresh helps in extraction of latest data for discussion with client customers. The dashboard is always updated.
79% Forecast model accuracy
Cash Forecasted numbers are now based on statistical insights rather than the judgement of the business user.
Improved Dashboards
Effective PowerBI dashboards enabling better business decisions and augmented user experience
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