This guide shows how to become findable and recommendable to the hybrid AI buyer before a person reaches your site, store, or sales team. It matters now because shortlists increasingly close inside AI, while you still own purchase, fulfilment, and service.
Updated November 12, 2026
Key Takeaways
- Half of U.S. consumers use AI in at least some purchase journeys.
- Nearly all business buyers surveyed use AI for vendor selection.
- Only 6% of U.S. and 3% of German CX decision-makers report end-to-end readiness.
- Consumers rank AI price comparison first; businesses rank that use seventh.
Why does the shortlist close before anyone calls?
SAP’s AI in Customer Experience Report 2027 surveyed 4,800 consumers, business buyers, CX practitioners, and decision-makers in the United States and Germany. Discovering options, comparing them, and building the shortlist increasingly happen inside AI before any brand channel is touched. Purchase, fulfilment, service, and returns still fall to the business.
Nearly all business buyers surveyed have used AI for purchasing or vendor selection, and about a third described the experience as very helpful. Half of U.S. consumers use AI in at least some purchase journeys. Completing a transaction still requires negotiated prices, contract terms, approvals, and implementation plans.
What must the hybrid AI buyer be able to read?
The question is no longer whether customers will find you. It is whether AI can find the offer, understand it, and confidently recommend it. Balaji Balasubramanian, SAP Customer Experience chief product officer, said that if offerings are not known to the AI engine, it will not surface them at all.
Models constantly re-evaluate what to surface, compare, and recommend, so a periodic catalog audit or a one-time SEO exercise is not enough. Every attribute, image, specification, availability signal, and proof point now shapes who is shortlisted. Search patterns, taxonomy gaps, and content scores show where products fall out, quietly, at scale.
- Attributes, images, specifications, and proof points an engine can use before a site visit.
- Price and availability that move with customer behavior, not only a nightly batch.
- Inventory and demand signals that can set a promotion before an unplanned markdown.
- Orders, inventory, subscriptions, and financials—not CRM fields alone.
How wide is the readiness gap?
Feeling prepared is not a connected enterprise. Ninety-three percent of U.S. CX decision-makers say they feel prepared for AI-enabled customers. WWD’s account of the Autonomy Gap reports that only 6 percent of U.S. and 3 percent of German CX decision-makers can say all relevant systems for end-to-end AI are ready.
Nine out of 10 said they were at least somewhat prepared to use AI agents to serve customers. WWD describes the Autonomy Gap as the distance between what AI can do, what consumers are willing to delegate, and what businesses can reliably deliver.
| AI use in buying | Consumers | Businesses |
|---|---|---|
| Price comparisons and discounts | Number one in both markets | Ranks seventh |
| Personalized recommendations | Ranks sixth | Top AI priority |
In a hypothetical where AI could shop for them, 87 percent of U.S. consumers and 83 percent of German consumers would still want to review and approve the final purchase. SAP said, “A brand can make a compelling promise.” “When AI makes that promise on its behalf, the enterprise has to keep it.”
How do you get on the list before it closes?
At SAP Connect, Jessica Keehn told leaders to “Pick one place to start, commit to it,” CustomerThink reported. Quotes for Ericsson’s network equipment had taken up to 14 days. Process variation spanned more than 175 countries.
Ericsson standardized commerce, pricing, and ordering on SAP, then added a Quote Creation Agent that sellers address by email from Outlook. Aaron Thomas said they started with quoting as “something that is basic and pragmatic.”
Balasubramanian’s test from that program still applies: “If you only provide data from your CRM systems and AI does not know your orders, your inventory, your subscriptions, and your financials, anything that AI does is practically a guess.” Hold that standard when the shortlist is built before any human contact, and when personal AI agents contact service teams. A readiness claim without those records is an AI overconfidence gap.
- Confirm an outside engine can find the offer, the price, and current availability without a human briefing.
- Trace product, price, inventory, identity, orders, and service, and flag any path that is not end to end.
- Compare funded uses with what buyers ask for—price and fair value first—without making the offer easier to replace.
- Pick the step with the most people, markets, and friction, connect the records behind it, and extend only after that promise can be kept.
In an AI-mediated world, those recommendation signals are proof, reliability, service quality, and outcome certainty.
Frequently asked questions
What is a hybrid AI buyer?
A buyer who uses AI to discover and shortlist, then still relies on the business for purchase, contracts, fulfilment, and service.
Who already uses AI to choose suppliers?
Nearly all business buyers in SAP’s study have used AI for purchasing or vendor selection, and half of U.S. consumers use it in some purchase journeys.
What is the Autonomy Gap?
WWD describes it as the distance between what AI can do, what consumers are willing to delegate, and what businesses can reliably deliver.
Will buyers let AI complete the purchase?
In SAP’s hypothetical, 87 percent of U.S. consumers and 83 percent of German consumers would still want to review and approve the final purchase.
