AI journeys rarely succeed if the problem has not yet been identified or is not urgent.
might be helpful.Understanding your challenges is key to finding the right AI solution. Your challenge may be identifying customers likely to buy additional products by uncovering complex data patterns. You may also need to determine the best time, method, message and person to contact each customer for optimal results. If you aim to reduce churn or increase cross-selling, identifying clients likely to churn or benefit from your product is a challenge to address.
Having a team with the right mindset is even more challenging than data or prediction problems. Ensure your team's involvement and empower them to make and own key decisions.Choosing the right AI solution requires considering its capabilities and costs. AI solutions can vary in price, so consider both upfront and ongoing costs. The chosen solution should address your problem and challenges within your budget.
If cloud charges are a concern, consider hybrid architectures or tech vendors who work with you to move the right data, optimized for the next step, instead of all the data.Integration of the AI solution into your existing systems is a crucial step. Look for solutions that offer seamless integration, allowing for real-time and adaptive export and distribution of leads to your sales agents.
Make sure that you have easy-to-use and personalized dashboards or portals to visualize data, predictions, results and value. This allows executives and end users to really see the value and where things are not moving right so that you know what to adjust. Seeing value and return on investment continuously also allows the whole team to be motivated to do more; it is easier to be motivated if all can see a $20 million annual value coming out of an AI solution and their efforts.
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