This post is co-written by Hesham Fahim from Thomson Reuters.
Thomson Reuters (TR) is one of the world’s most trusted information organizations for businesses and professionals. It provides companies with the intelligence, technology, and human expertise they need to find trusted answers, enabling them to make better decisions more quickly. TR’s customers span across the financial, risk, legal, tax, accounting, and media markets.
Thomson Reuters provides market-leading products in the Tax, Legal and News campaign, which users can sign up to using a subscription licensing model. To enhance this experience for their customers, TR wanted to create a centralized recommendations platform that allowed their sales team to suggest the most relevant subscription packages to their customers, generating suggestions that help raise awareness of products that could help their customers serve the market better through tailored product selections.
Prior to building this centralized platform, TR had a legacy rules-based engine to

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