WEBVTT 1 00:03:05.160 --> 00:03:07.360 Let us explain the journey of one of our clients. 2 00:03:08.240 --> 00:03:09.360 Everything started 3 00:03:09.360 --> 00:03:12.760 because they were facing significant churn and downsell losses every month, 4 00:03:13.520 --> 00:03:14.240 and their cross-sell 5 00:03:14.240 --> 00:03:17.200 and upsell strategy was quite reactive, leaving money on the table. 6 00:03:17.400 --> 00:03:20.320 The first thing we proposed was building an initial proof of concept 7 00:03:20.400 --> 00:03:22.240 in order to validate that their data quality 8 00:03:22.240 --> 00:03:25.920 was enough to generate predictive insights and generate trust in the organization. 9 00:03:26.080 --> 00:03:27.840 Then we proved value in the market. 10 00:03:27.840 --> 00:03:31.920 A targeting model to predict customers at risk was launched in-market, 11 00:03:32.400 --> 00:03:35.480 and we stood up a team of reps to proactively approach them. 12 00:03:35.640 --> 00:03:39.160 At that point in time, internal teams started to really believe 13 00:03:39.440 --> 00:03:42.280 that this AI-based transformation could be a game-changer. 14 00:03:42.360 --> 00:03:44.640 It was not until then that we started scaling. 15 00:03:45.040 --> 00:03:47.760 First with the initial use case on retention to all reps, 16 00:03:48.080 --> 00:03:50.840 and then with additional use cases such as cross-sell 17 00:03:50.840 --> 00:03:53.640 of additional products and up-sell to higher product tiers. 18 00:03:54.000 --> 00:03:58.040 Today, more than 600 sales reps are using AI-based recommendations 19 00:03:58.040 --> 00:04:02.120 powered by our technology to drive all their sales campaigns. After this 20 00:04:02.280 --> 00:04:06.440 transformation, they are today leading in the key indicators in their industry.