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According to Statista, the global SaaS market that leverages AI and ML is predicted to reach an evaluation of $126 billion by 2025. This clearly indicates the surging interest in Artificial Intelligence and Machine Learning, therefore, attracting tech-tycoons willing to invest heavily in developing infrastructures that can better benefit from this duo. Of course, the foremost practicalities that buzz our mind once we hear “AI” are search engines, virtual assistants, and product recommendations on social media, backed by giants like Amazon and Google. However, just as B2C e-commerce, Artificial Intelligence holds just as strong grounds on the B2B aspect.

As with any emerging tech, AI isn’t the magic sword that slays every challenge in B2B companies. Although we might assume that e-commerce business applications work just the same for B2B and B2C relationships, the silver lining is much broader. One notable example is that for B2C brands, customer retention is much short-term as opposed to B2B. Therefore, B2B e-commerce has its own challenges that should, if not must, be addressed by implementing AI at its core. Interestingly, B2B companies already have rich data sources around their user interaction, tapping into which, by leveraging AI, can adapt to and analyze unique situations in such efficient ways that no human can.

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