See ABAP Cloud RAP power recommendations and AI lookups – then generate analytics “review booklets” end-to-end without leaving ADT.
In this SAP TechEd demo, we extend an in-house shopping cart to help new hires get laptops and phones faster, now with product recommendations built on ABAP Cloud RAP. You’ll see how an ISLM machine-learning scenario (trained on the equipment request dataset) plugs directly into a RAP behavior definition, returning ranked suggestions at input time.
We then add a second AI pattern using the ABAP AI SDK: a Gen AI scenario that calls a foundation model to fetch concise product reviews from the web. Prompts, triggers, and results are orchestrated inside ADT, so developers stay in one flow – no tab-hopping.
To close the loop with insight-to-action analytics, we showcase the new Review Booklet capability in ABAP Cloud analytics. From an analytical cube + queries bound via InA, a wizard generates the review booklet app and opens the Review Booklet Designer to tailor pages, measures, and layouts. The result is a Fiori app where business users slice, dice, and save views, like top suppliers, in minutes.
Speakers:
Shilpa Shankar, Developer Advocate, SAP
Sheena M K, Developer Advocate, SAP
00:02 – Scenario intro: equip new hires; recos in shopping cart
01:06 – Wire ISLM into RAP (behavior def, side effects, JSON call)
02:10 – ABAP AI SDK: Gen AI scenario for web product reviews in ADT
03:49 – New: Review Booklet generator in ABAP Cloud analytics
05:02 – Wizard → Designer: generate app, bind via InA, configure pages
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