Modernizing Demand Forecasting & Inventory Planning for Retail and Consumer Goods

Modernizing Demand Forecasting & Inventory Planning for Retail and Consumer Goods

Retail & Consumer Goods Company

Empowering retail and consumer goods enterprises with AI-driven demand forecasting, ensuring optimal stock levels and enhanced customer satisfaction. This transformative approach not only streamlines inventory management but also drives significant cost savings and operational efficiency.

A leading global enterprise in the retail and consumer goods sectors

35%+

Improvement in forecast accuracy

70%

Reduction in manual effort with automation

12

Regions onboarded in first phase

1M+

Sales records processed monthly

Challenges

  • Forecasting processes were fragmented and heavily reliant on manual Excel-based workflows, leading to inefficiencies and inconsistencies across regions.
  • While SAP S/4HANA contained rich sales and inventory data, it lacked integration with advanced forecasting models, limiting data-driven decision-making.
  • Disparate data sources (SAP BW, flat files, APIs, third-party databases) required extensive transformation and preprocessing before modeling.
  • Absence of real-time sales trend monitoring led to delayed responses to demand shifts, resulting in frequent stockouts or excess inventory.

InfraBeat Solution

  • Integrated multiple data sources (SAP S/4 HANA, SAP BW ,Excel, JSON, APIs, and databases) to ingest historical sales and operational data.
  • Performed anomaly detection, transformation, and stationarity checks using Python to prepare data for time series modeling.
  • Developed time series forecasting models using ARIMA, SARIMA, and SARIMAX tailored to regional sales trends.
  • Visualized forecasts and real-time trends in Power BI, enabling decision-makers to act on sales insights instantly.

Key Achievements

  • Improved forecast accuracy by over 35%, helping reduce stockouts and excess inventory across key locations.
  • Enabled real-time monitoring of sales and deviations, significantly accelerating decision-making cycles.
  • Automated the complete forecasting pipeline—from ingestion to visualization—reducing manual effort by 70%.
  • Delivered a scalable forecasting framework ready to be extended across 12+ regions within the first deployment phase.

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Success Story

Drives Business Growth with Optimized SAP AMS Excellence