HAVAL: Vector listens to the whole dealer network

The HAVAL dealership network across Russia produces a huge flow of sales calls: over 300,000 minutes of conversation a month even on a sample. That volume cannot be checked by hand, spot checks reached a fraction of a percent, and off the shelf tools handled neither the volume nor 40+ communication criteria. Script deviations and lost sales went unnoticed

Vector speech analytics was built as fully custom development: it goes through calls across the whole network and scores every conversation against 40+ criteria drawn from a checklist and the scripts, handling over 300,000 minutes a month. AI agents flag the weak calls: a conversation under 70% is pushed to a senior manager automatically so the sale is not lost. BI dashboards cover how calls influence sales, track deals after a call, collect NPS and feedback, and management gets ready summaries. The analytics, the agents and the dashboards are all custom work. On top of that the agents book customers into the service centre, remind them about scheduled maintenance and upsells, and act as account managers

HAVAL sees how the whole network speaks to customers, at a scale neither manual review nor off the shelf tools can take. Weak calls are caught and pushed up in time, script compliance is measurable, and the link between a call and a sale shows up in dashboards instead of being guessed