Procter & Gamble (P&G) is a consumer goods company that produces some of the most well-known brands in the world. Over the years, P&G has invested heavily in technology to improve its manufacturing processes and supply chain. One area where P&G has recently been making strides is in the application of machine learning to improve its operations and products.
P&G has been using machine learning for a range of applications, from improving the efficiency of its supply chain to developing new products. One example is the company’s use of machine learning to improve its advertising targeting. P&G worked with a machine learning startup to develop a model that could predict which products would be most successful in different markets, using data from online searches and social media. The model helped P&G improve the accuracy of its advertising targeting and drive significant improvements in sales.
Another area where P&G has applied machine learning is in improving its product development process. The company has been using machine learning to identify trends and insights in customer feedback and reviews, which has helped it develop new products that better meet customer needs. P&G has also used machine learning to optimize its manufacturing processes, reducing waste and improving efficiency.
P&G has also been making significant investments in its data analytics capabilities. In 2019, the company opened a new data analytics center in Ohio, which is focused on using machine learning to analyze large datasets and drive insights that can be used to improve the company’s operations and products. P&G has also been partnering with startups and technology companies to bring in new expertise and capabilities.
P&G’s investment in machine learning and data analytics has paid off. The company has reported significant improvements in its revenue and profit margins in recent years. In 2020, P&G reported net sales of $71 billion, up 5% from the previous year, with a net income of $13.2 billion, up 12% from the previous year. P&G’s success is a testament to the power of machine learning and data analytics in improving operations and driving growth.
Sources:
- Procter & Gamble. (2021). About P&G. https://us.pg.com/who-we-are/about-pg/
- Procter & Gamble. (2021). P&G’s 2019 Citizenship Report. https://us.pg.com/sustainability/citizenship-reports/
- Procter & Gamble. (2021). P&G History. https://us.pg.com/who-we-are/pg-history/
- Delaney, K. (2019). P&G opens new data analytics center in Ohio. Cincinnati Business Courier. https://www.bizjournals.com/cincinnati/news/2019/09/30/p-g-opens-new-data-analytics-center-in-ohio.html
