Roy W. Olivier
Thanks, Bill. As I stated previously, there’s a lot of great news in this quarter’s results and we continue to believe that we will end the year on a strong note. That said, I remain frustrated by the slowing in our platform growth. As a reminder, we have multiple areas involved in sales and upsells. We continue to see market headwinds associated with the general economic situation that shows up in slower onboarding of new customers, fewer upsells than we have seen in the past and more churn than we have seen in the past. Only one logo was lost to a competitor during the quarter. The remaining churn was due to our customers being acquired bankruptcy or cancellation or downsizing, the spend due to the overall economic pressures in their business. As I will discuss in a minute, we continue to release enhancements and continue to have strong NPS scores with our customers. We’re focused on improving our sales process, our sales teams, and our overall sales activity levels to capitalize on the upswing as the economy starts to recover. I continue to expect that we can grow the platform business at greater than 30% year-over-year, and I’m confident that we will return to those levels as the economy improves. In the meantime, the actions we took over the past year to impact our transaction growth is driving material improvements in our revenue growth, profitability, and cash flow. We continue to make great progress in many areas of the business. During the quarter, we dropped three release updates to the product, adding many new features including RSS feeds, updated search capability, save searches, dual currency invoices, and much more. All of these updates have been well received and are generating pipeline opportunities for upgrades. You can learn more about our releases on our website under the resources tab in release notes. Some of our recent releases are utilizing AI in our workflow for the first time. As a reminder, we use AI, NLP or Natural Language Processing in our Cure Data’s product today. That products allows a user to set up a search and then use our AI, NLP technology to read and score documents in the search results. Our April release included an AI tool to recommend scientific articles that are related to articles the user is viewing. For example, if you are reviewing an article related to peanut allergy, our recommendation tool will show you other articles that are related to that article. We will be releasing some additional AI technology in our late May release, and we will continue to focus on integrating AI and NLP into our workflow to help researchers to the extent that the results are accurate. As we all know, many of the AI tools generally available today are learning from publicly available content, which is in many cases not accurate. We’ll continue to focus on tools that provide accurate and relevant results to our users. On the sales front, we’re working on several exciting opportunities that we think will materializes revenue in the near future. As Bill reported, we are excited about the impact that the FI