Alteryx > Case Studies > Pepsico's Transformation to Smarter Sales Forecasting with Designer Cloud

Pepsico's Transformation to Smarter Sales Forecasting with Designer Cloud

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Applicable Industries
  • Consumer Goods
  • Retail
Applicable Functions
  • Procurement
  • Sales & Marketing
Use Cases
  • Demand Planning & Forecasting
  • Time Sensitive Networking
  • Cloud Planning, Design & Implementation Services
About The Customer
PepsiCo is a global consumer packaged goods company whose products are enjoyed by consumers more than one billion times a day in over 200 countries and territories worldwide. The company's product portfolio includes a wide range of enjoyable foods and beverages, with 23 brands that generate more than $1 billion each in estimated annual retail sales. PepsiCo's operations involve a complex supply chain, with a need for accurate and timely sales forecasting to ensure the right product quantities are supplied to its retailers.
The Challenge
PepsiCo, a global consumer packaged goods company, faced a significant challenge in calibrating sales forecasting to supply the right product quantities to its retailers. The sales forecast incorporated a variety of data, including warehouse data, store stock data, and promotional forecast data, all of which were provided by retailers in different file formats and delivered using various methods. The primary challenge was the speed of preparing a sales forecast. With the existing Microsoft Access and Excel-based processes, the time required to prepare this data was so extensive that analysts could only leverage it once a month or not at all. This inefficiency risked under or oversupplying retailers, potentially impacting PepsiCo's business operations and customer relationships.
The Solution
To address this challenge, PepsiCo built a Microsoft Azure data lake for centralized data storage and access. The company also implemented Designer Cloud, which analysts trained in Excel and SQL could easily adapt to. This solution enabled the analysts to prepare and standardize diverse retailer data significantly faster for visualization in Tableau. Unlike Excel, which had size limitations requiring analysts to stitch together multiple spreadsheets, Designer Cloud allowed PepsiCo to see the full picture of its data and quickly spot any errors or inconsistencies. As a result, analysts spent less time on data preparation and could dedicate the majority of their time to analyzing data and predicting trends, driving more value for the company.
Operational Impact
  • The implementation of Designer Cloud brought about significant operational improvements for PepsiCo. The analysts were able to reduce the total reporting time by 70% and build dashboards for new customers 90% faster than with Excel and Access. This efficiency meant that analysts could spend less time on collecting, cleaning, and preparing data, and more time on creating dashboards for more customers, including online retailers. Additionally, Designer Cloud’s visual profiling capabilities allowed the team to easily identify gaps and outliers in the data to get ahead of larger issues, thereby reducing errors and improving the overall quality of their work.
Quantitative Benefit
  • 70% reduction in total reporting time
  • 90% reduction in data pipeline build time
  • $7M in order processing errors proactively resolved

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