The integration of artificial intelligence (AI) into business processes is currently a major driving force for digital transformation. However, the AI adoption process can be challenging for organizations, with different algorithms, platforms, and technologies to consider. To address these challenges ISLM offers a standardized and unified lifecycle management framework designed to make AI adoption and usage more accessible and more straightforward for our customers. Over the course of time, ISLM has made significant strides forward, with the introduction of new machine learning scenarios that are readily available, as well as increased support for a range of algorithms, technologies, and platforms. The aim of this blog post is to provide a summary of some of the key highlights of recent innovations.
Recently delivered out-of-the box scenarios
Intelligent Scenario | Line of Business | Scenario Type | Release |
Sales Order Auto-Completion (SLS_DOC_AUTO_COMPLTN) Helps users in completing sales orders by providing recommendations derived from historical data. | Sales | Side By Side - Data Attribute Recommendation | SAP S/4HANA Cloud 2308 |
BEI_DAYS_TO_PAYMENT Helps end user get an idea of when the particular business partner would clear their dues. | Service | SAP HANA ML APL | SAP S/4HANA 2022 FPS01 SAP Help Portal |
BEI_LATE_FILING This includes content to predict the entities that may not file tax on time | Service | SAP HANA ML APL | SAP S/4HANA 2020 FPS02 SAP Help Portal |
BEI_LATE_PAYMENT This includes content to predict which entities may not pay the amount on time | Service | SAP HANA ML APL | SAP S/4HANA 2020 FPS02 SAP Help Portal |
BEI_LATE_PAYMT_CLSTR The clustering scenario would provide key insights to the end user which will help them in strategic decision making. | Service | SAP HANA ML PAL | SAP S/4HANA 2022 FPS00 SAP Help Portal |
BEI_RECEIVERSHIP This includes content to predict the entities that have a risk of receivership | Service | SAP HANA ML APL | SAP S/4HANA 2020 FPS02 SAP Help Portal |
EWM_PTWYCTRL_IND_00 Give warehouse user the capability to predict putaway control indicator based on existing warehouse product master | Supply Chain | SAP HANA ML PAL | SAP S/4HANA 2022 FPS01 SAP Help Portal |
EWM_STKRMVL_IND_00 Give warehouse user the capability to predict stock removal indicator based on existing warehouse product master | Supply Chain | SAP HANA ML PAL | SAP S/4HANA 2022 FPS01 SAP Help Portal |
EWM_STORSCTN_IND_00 Give warehouse user the capability to predict storage section indicator based on existing warehouse product master | Supply Chain | SAP HANA ML PAL | SAP S/4HANA 2022 FPS01 SAP Help Portal |
FLOG_TEXT_EXTRACTION Container ID auto recognition | Supply Chain | Side By Side - Document Information Extraction | SAP S/4HANA 2022 FPS00 SAP Help Portal |
MM_PUR_HUB_MATGRP_RC Material Group recommendations are provided for all eligible free text Purchase Requisitions in the Hub system based on existing Purchase Orders which saves time for the Central purchaser. | Sourcing & Procurement | Side By Side - Data Attribute Recommendation | SAP S/4HANA Cloud 2302 SAP Help Portal |
SO_AUTO_EXTRACTION Help establish service connection to Document Information Extraction. | Sales | Side By Side - Document Information Extraction | SAP S/4HANA Cloud 2108 SAP S/4HANA 2021 FPS0 SAP Help Portal |
FIN_COL_RSK_LTE_PMNT This predictive scenario supports collection specialists in their daily activities. It helps them to assess the future payment behavior of customers. This reduces operational process costs and improves the working capital. | Finance | SAP HANA ML APL | SAP S/4HANA Cloud 2302 SAP Help Portal |
ISLM now supports creation of custom intelligent scenarios based on:
Enhanced functionality
ISLM is now enhanced with the following features:
SAP TechEd 2022 Session Replays:
Stay up-to-date about the latest innovations through SAP Roadmap Explorer
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