Analysts lost days to manual pivot tables. Now, GenAI scans six ERPs to identify and explain margin drivers in milliseconds.
A global home appliance manufacturer with 60,000 employees and €14.8 billion in turnover produces premium brands like Bosch, Siemens, and Neff.
Business analysts spent excessive time manually creating pivot tables for static monthly reports, while managers struggled to extract relevant...
“In close collaboration with SAP and PwC Germany, we developed an analytics assistant as an inspirational showcase that delivers real-time, relevant steering information and continuously identifies data-driven optimization potentials to further improve our business performance.”
Manufacturer of home appliances and digital services under brands like Bosch and Siemens.
Collaborated with BSH to develop a Gen AI analytics widget for its controlling teams.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
BSH Hausgeräte's Financial analysis is part of this use case:
Related implementations across industries and use cases
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Marketing 14 product lines relied on past experience. Now, AI tracks real-time social trends to predict performance and guide strategy.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.
Scouring 12+ silos delayed critical IP checks. GenAI unified search, letting 4 analysts match the output of a 100-person team.
Analysts lost days to manual pivot tables. Now, GenAI scans six ERPs to identify and explain margin drivers in milliseconds.
A global home appliance manufacturer with 60,000 employees and €14.8 billion in turnover produces premium brands like Bosch, Siemens, and Neff.
Business analysts spent excessive time manually creating pivot tables for static monthly reports, while managers struggled to extract relevant...
“In close collaboration with SAP and PwC Germany, we developed an analytics assistant as an inspirational showcase that delivers real-time, relevant steering information and continuously identifies data-driven optimization potentials to further improve our business performance.”
Manufacturer of home appliances and digital services under brands like Bosch and Siemens.
Collaborated with BSH to develop a Gen AI analytics widget for its controlling teams.
SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.
BSH Hausgeräte's Financial analysis is part of this use case:
Related implementations across industries and use cases
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Marketing 14 product lines relied on past experience. Now, AI tracks real-time social trends to predict performance and guide strategy.
Fragmented tools slowed operations. A unified platform now connects experts and business users, cutting analysis time by 60%.
Manual Excel models bottlenecked the network. Now, AI optimizes inventory while bots provide 24/7 service.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Teams manually screened hundreds of pages per deal. Now, they query filings to surface critical insights instantly.
Scouring 12+ silos delayed critical IP checks. GenAI unified search, letting 4 analysts match the output of a 100-person team.