by twieberneit | Mar 26, 2018 | Analysis, Blog |
A brief while ago I had the chance of talking to Andy Byrne, CEO of Clari, about how AI can help making sales organizations more effective and efficient. Clari is a vendor of Opportunity-to-Close solutions. G2Crowd lists the company amongst the leaders of its Sales Analytics Software quadrant, while Gartner Group in 2017 named it a cool vendor in the Tech Go-To-Market. Shortly after the conversation Clari announced the closure of a $35 Million funding round “following record growth”, essentially a tripling of their customer base while maintaining a near 100 per cent renewal rate. According to Andy, the company applies “machine learning focused on sales”, i.e. predictive and prescriptive analytics to improve pipeline visibility and to get more insight into which opportunities are more likely to close than others. This helps in focusing on these opportunities. This solution was developed after having in depth conversation with a number of big sales teams, figuring out their challenges/problems. As a result of this the company is addressing three problems. Many to most sales reps do not consider CRM systems (or SFA systems, for that matter) as particularly helpful. Sales managers do have a poor visibility into what their teams are doing, with which opportunities they spend their time. Executives and Sales Operations are dealing with “XLS hell” because the system’s forecasting ability is broken. All in all, points two and three are consequences of point one. If a system is not of help it is a time-waster and tends to be avoided. Data about opportunities will not be entered in a timely manner nor will it be very accurate. Clari’s...
