Equipping finance controllers with an AI-powered tool for faster closure of books and outlier detection
By incorporating statistical confidence intervals and advanced anomaly detection techniques, the finance controllers of global CPG company were able to address irregularities, outliers swiftly resulting in much faster closure of books. The intelligent variance analysis solution helped in overcoming key challenges like time-consuming account closure and the lack of a red flag system at P&L and GL level. This resulted in improved financial decisions, enhanced operational efficiency, and proactive risk management for the organisation.
Normalising daily sales position leveraging advanced smoothening and forecasting techniques
For CPG companies, accurate reporting of daily business position is crucial, but often challenging. This case study reveals how utilizing data analytics revolutionized the way a multi-billion-dollar global consumer goods company tackled this issue. By implementing advanced smoothening and forecasting techniques, they achieved accurate daily sales reporting, informed decision-making, improved trust in data, better governance over trade expenditures, optimized spending, enhanced visibility on seasonal changes, and proactive adaptation to shifting demand.
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