gettyFor B2C brands, predictive analytics is crucial in ensuring that stakeholders can make sound decisions at scale—and improve the performance of their core business. But as they pursue predictive analytics efforts for their companies, B2C leaders should avoid leaving money on the table. B2C brands work with significantly more customers than B2B brands, often in the range of millions. Most B2C brands, unlike B2B companies, have to diligently monitor their inventory, making sure they have enough to meet consumer demands. Different departments at a company, such as marketing, sales and finance, will have their use cases for ML models.

Source: Forbes January 20, 2024 06:12 UTC