Tealbook: Vendor Analysis (Part 2) — Product Strengths and Weaknesses

In our last Spend Matters PRO brief, we introduced you to Tealbook, a five-year-old provider based out of Toronto (with an office in New York City) that is deploying a new platform for supplier information management (SIM) and discovery. Combining machine learning to accelerate data cleansing and gathering with a social media-like user experience to encourage collaborative supplier information management, Tealbook is gaining use cases and enterprise-class procurement customers that want to:

— Consolidate and better manage their supplier master data — aka the “I” (Information and Intelligence) in SIM.
— Discover and on-board new suppliers more effectively than 1) Google searches and 2) searches within proprietary supplier networks.
— Create a system of intelligence surrounding suppliers both internally (e.g., within a spend category team or project team) and externally through fully permissioned, community-based knowledge sharing.
— Quickly bring supplier diversity programs to target levels.

Part 1 of this brief provided an overview of Tealbook’s offering and a short selection requirements checklist that outlined the typical company for which Tealbook might be a good fit.

In Part 2, we provide a breakdown of what is comparatively good (and not so good) about the solution, a high-level SWOT analysis, and some final conclusions and takeaways.