A sales operations lead wants Dynamics 365 Sales to automatically surface products a customer has not yet purchased but that similar customers with comparable profiles have adopted, so sellers can proactively pitch expansion deals during renewal conversations. Which AI capability should the consultant configure to support this goal?
Select an answer to reveal the explanation.
Short Explanation
This is really a matching exercise between what the manager wants and what each AI feature is built to answer. The goal here is expansion inside accounts that already buy from you, spotting the gap between what this customer owns and what its lookalike peers own. That is a purchase-pattern comparison problem, and the feature purpose-built for it does exactly that comparison and surfaces the gap as a pitch opportunity. The distractors all answer a different question well but the wrong one here: ranking brand-new inbound leads tells you nothing about an existing customer's product mix, flagging churn risk points you toward accounts that might leave rather than accounts ready to buy more, and reading tone out of recorded calls tells you how a conversation felt, not what products a peer account bought that this one hasn't. Picking the right tool means asking what question you're actually trying to answer, then matching it to the capability designed for that exact question.
Full Explanation
The correct answer is D. Predictive cross-sell and upsell recommendations are built specifically to compare a customer's current purchase footprint against similar accounts and surface products those peers have adopted but this account has not, which is exactly the expansion signal the operations lead is asking for. Option A is incorrect because lead scoring ranks brand-new inbound leads by conversion likelihood; it has no visibility into an existing customer's product mix or renewal opportunity. Option B is incorrect because relationship health scoring is a risk signal aimed at flagging accounts likely to churn, which is the opposite orientation of identifying expansion potential. Option C is incorrect because conversation intelligence sentiment analysis measures tone and engagement quality within recorded calls, not product ownership gaps against a peer set. A consultant configuring this scenario needs to recognize that each of these AI capabilities answers D different sales question, and matching the operations lead's actual goal, growing revenue within existing accounts, to the recommendation engine built for that purpose is what makes the configuration effective rather than just technically functioning.