WEBVTT 1 00:00:00.341 --> 00:00:03.258 (thoughtful music) 2 00:00:14.490 --> 00:00:15.870 I love to run. 3 00:00:15.870 --> 00:00:19.110 It is the sport that I can do anytime, anywhere. 4 00:00:19.110 --> 00:00:21.930 As long as I've got my running shoes, I can train 5 00:00:21.930 --> 00:00:26.250 for races at night while traveling for work or on vacation. 6 00:00:26.250 --> 00:00:27.420 It's the kind of convenience 7 00:00:27.420 --> 00:00:30.330 and experience I value from my service providers too, 8 00:00:30.330 --> 00:00:32.820 whether that's a streaming service, my bank, 9 00:00:32.820 --> 00:00:34.770 or our family energy provider. 10 00:00:34.770 --> 00:00:36.570 I want my queries answered 11 00:00:36.570 --> 00:00:39.450 and my requests dealt with when I want, 12 00:00:39.450 --> 00:00:41.250 and without being kept waiting. 13 00:00:41.250 --> 00:00:44.490 The companies that do this well are the ones I stay with. 14 00:00:44.490 --> 00:00:46.170 It's one of the reasons we created 15 00:00:46.170 --> 00:00:49.161 Deep Customer Engagement AI by BCG X. 16 00:00:49.161 --> 00:00:52.680 Not only does it create happier, more engaged customers, 17 00:00:52.680 --> 00:00:54.960 it also increases lifetime value of that customer 18 00:00:54.960 --> 00:00:57.870 for the company by up to 40%. 19 00:00:57.870 --> 00:00:59.730 Deep Customer Engagement AI 20 00:00:59.730 --> 00:01:02.430 takes the guesswork out of customer management 21 00:01:02.430 --> 00:01:05.280 by integrating artificial intelligence into 22 00:01:05.280 --> 00:01:07.050 its customer interaction. 23 00:01:07.050 --> 00:01:10.710 From sales and customer acquisition to price optimization, 24 00:01:10.710 --> 00:01:13.320 servicing, and chain reduction. 25 00:01:13.320 --> 00:01:15.390 Let's think about what AI can enable 26 00:01:15.390 --> 00:01:18.330 before, during, and after a customer conversation. 27 00:01:18.330 --> 00:01:20.070 Before the customer interaction, 28 00:01:20.070 --> 00:01:22.650 predictive AI can anticipate customer needs, 29 00:01:22.650 --> 00:01:25.470 understand when they are most vulnerable to leaving, 30 00:01:25.470 --> 00:01:27.510 or when they are open to upselling. 31 00:01:27.510 --> 00:01:30.930 During the conversation, Gen AI can listen real time 32 00:01:30.930 --> 00:01:32.520 and provide dynamic tips 33 00:01:32.520 --> 00:01:35.520 to help the human agent meet customer needs, 34 00:01:35.520 --> 00:01:38.880 boost experience, and customer lifetime value. 35 00:01:38.880 --> 00:01:41.970 After, Gen AI can help with logging the key points 36 00:01:41.970 --> 00:01:45.690 of the interaction, ensuring accurate record keeping, 37 00:01:45.690 --> 00:01:47.310 and helping the human agent 38 00:01:47.310 --> 00:01:49.643 to move onto the next customer sooner. 39 00:01:49.643 --> 00:01:53.250 Additionally, virtual agents can handle end-to-end 40 00:01:53.250 --> 00:01:55.620 conversations without human intervention, 41 00:01:55.620 --> 00:01:56.903 massively reducing costs 42 00:01:56.903 --> 00:01:58.520 and scaling the opportunities 43 00:01:58.520 --> 00:02:01.530 to sell additional products and services. 44 00:02:01.530 --> 00:02:04.500 With these solutions, companies are always available 45 00:02:04.500 --> 00:02:07.259 to serve their customers anytime, anywhere, 46 00:02:07.259 --> 00:02:09.210 and in a very efficient way. 47 00:02:09.210 --> 00:02:11.340 With Deep Customer Engagement AI, 48 00:02:11.340 --> 00:02:15.416 we have helped many companies to reduce cost to serve by 50% 49 00:02:15.416 --> 00:02:18.270 and increase service to sales opportunities 50 00:02:18.270 --> 00:02:20.370 above 20% edge points. 51 00:02:20.370 --> 00:02:24.150 Our solutions are always on, listening to customer needs 52 00:02:24.150 --> 00:02:26.370 and capturing continuous feedback. 53 00:02:26.370 --> 00:02:28.980 Therefore, Deep Customer Engagement AI's 54 00:02:28.980 --> 00:02:30.660 algorithms are designed 55 00:02:30.660 --> 00:02:33.810 to continuously improve with every touch point. 56 00:02:33.810 --> 00:02:34.890 Just like running 57 00:02:34.890 --> 00:02:37.290 and training for a race, it's about getting better 58 00:02:37.290 --> 00:02:38.741 and better with every step. 59 00:02:38.741 --> 00:02:42.241 (futuristic upbeat music)