Welcome colleagues. Today I’d like to share the description of SAP high level positioning of the Business AI for the Chemicals and Process Industries.
SAP advantage: Business AI Unveiled
At SAP, our commitment to Business AI is underscored by three pillars: relevance, reliability, and responsibility. By embedding these principles into our enterprise applications and business technology solutions, we ensure that our clients receive future-proofed AI experiences tailored to their business context.
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AI Impact on the Chemical Industry
To make it short: the advent of AI has revolutionized the Chemical Industry, enhancing efficiency across business processes, manufacturing operations, and decision-making frameworks. Through AI and Machine Learning (ML) algorithms, chemical companies can optimize manufacturing outcomes, refine demand forecasting accuracy, and elevate sales effectiveness - and these are only couple of examples we can provide, there is more below in this blog.
Survey Insights: AI's for Chemical Companies
Collaborating with esteemed industry communities like CEAC (Chemical Executive Advisory Council), ACC (American Chemistry Council) and others, we (SAP IBU Chemicals) have “distilled” the most important scenarios for chemical businesses. We have performed several surveys of AI experts within chemical companies has revealed key areas where AI promises maximum benefits.
From the common AI direction point these priorities are:
- Help with decision making
- Process & Routine Tasks Automation
- Assistance in R&D and Recipe generation
- Improve the Employee & Customer Experience using natural language
And, we have gathered scenarios prioritization according to respective business domains.
Customer Experience:
- 360 Customers Review
- Natural Language Assistance for Sales managers
- Price Changes Impact Prediction
Procurement:
- 360 Suppliers Review
- Supplier Document Data Extraction
- Contractors job description
Finance & Reporting:
- Natural Language Assistance in Analytical Reporting
- Finance Data Insights and Advisory
Supply Chain Management:
- Demand Forecasting
- Chemical Technology Process Optimization
- Visual Inspection for Asset Maintenance & Quality Management
Governance & IT:
- Master Data Management, Data enrichment and Quality
- Natural Language User Assistance
- Business Process Analysis
- Code Generation and Analysis
- R&D – Recipe Development Assistance
These scenarios represent the collective vision of industry experts and serve as a roadmap for integrating AI-driven solutions into the fabric of chemical businesses. By aligning our efforts with these prioritized scenarios, SAP aims to empower organizations to unlock new levels of efficiency, agility, and innovation in the ever-evolving landscape of the chemical industry.
How SAP responses on these prioritization?
Responding to industry demands, we have integrated AI across our business applications and developed specialized scenarios to address specific industry needs. Whether it's ML co-pilots for natural language experiences or AI-powered visual inspections for quality management, our solutions are designed to deliver tangible business outcomes.
Our embed AI scenarios a supplied inside our flagship solution SAP S/4HANA Cloud ERP, and Line of Business (LoB) Solutions.
We are also collaborating with our partners with AI-improved applications which are integrated with our cloud solutions.
One of major advantages – since our LoB solutions are integrated with our S/4HANA, so all the all the AI-scenarios we are developing and supplying in LoB are also integrated with our Cloud ERP, and all new capabilities are developed synchronously in all our solutions. All you need to get the latest capabilities and outcomes is to run our cloud solutions.
We are proposing Relevant Scenarios for the Chemical Industry
Building upon customer feedback and industry insights, we have curated a list of AI-powered scenarios tailored for the chemical industry. From customer analysis to demand management and digital assistants, our solutions offer comprehensive support across diverse business domains.
Below is just a couple of examples of AI-powered scenarios we are supplying right now with our and partners’ solutions. Please find couple of examples below which are connected to scenario priorities identified by Chemical communities:
Customer Experience
- 360 Customer Analysis
- Mobile Sales assistant
- AI-powered Price Optimization
Procurement
- Invoice Conversion
- Category Recommendation
- Job description for external contractor workforce
Finance
- Intelligent Collection
- Payment Risks Analysis
- Goods receipt and invoice matching
Supply Chain Management
- Demand Management
- Demand-driven replenishment
- Predictive Shipment Analysis
Manufacturing and Operations
- Chemical Technology Process non-linear optimization
- Visual Inspection for Asset and Manufacturing Quality Management
- Safety Data Sheet Data Extraction
Governance & IT
- Digital Assistant – Co-pilot for application users
- Analytics with Natural Language Report Builder
- Master Data Management
- Application Custom Code Generation and Analysis
Above is just a list of examples to demonstrate how we are responding on priorities defined by our customers. You can find a lot more information about our AI-powered capabilities in our roadmap.
Customer Success Stories: Realizing the Potential of AI
Our clients stand as testaments to the transformative power of AI. From optimizing data extraction processes to enhancing production outcomes and improving forecast accuracy, SAP Business AI solutions have catalyzed tangible business growth and operational excellence.
Some of our customers have already realized AI scenarios based on our technologies. Couple of examples are:
- Global Chemical company uses Business AI for extraction pertinent data from semi-structured packaging specifications from suppliers and for recording the data into ERP for further processing. It allowed the company to save time and workload
- Big Fertilizer Producer is using the ML assistance for technology equipment, which forecasts the optimal process conditions. As a result, the production outcome has been increased on the value from 2 to 10% in tons of production.
- Global Petrochemical company uses AI to gather, extract and analyse unstructured external world data to improve forecast accuracy for the commodity prices and demand volumes by regions for their products. They are using these inputs as modifiers for demand process and as a result they have increased their forecast accuracy, sales revenue, and margin
- Well known Specialty Chemical company implemented next-generation technologies and artificial intelligence to streamline onboarding for its contact centre representatives and automate the categorization of incoming service tickets, leading to faster onboarding and less time spent on manual tasks
More of examples can be found in our Customer Stories Finder
AI: How to get there
In conclusion, SAP is at the forefront of driving AI innovation in the chemical industry. With a steadfast commitment to relevance, reliability, and responsibility, we empower businesses to harness the full potential of AI and navigate the complexities of the digital age with confidence.
As a business application vendor, we know well how to integrate AI scenarios into business processes, how to select and score scenarios, how define measure the success, how to define the scenario in detail, how to realize it on our business and technical platform.
If you're interested in learning more about how Business AI can elevate your organization, I invite you to reach out to me and join the conversation. Together, let's build an impressive case powered by SAP Business AI.
- SAP Roadmap for Chemicals, with AI as focus topic of interest
- SAP Store - Partner Solutions for Chemical Industry, powered with AI
Please contact me if you are interested and want more information about positioning of Business AI for the Chemical Industry. Please do nit hesitate give ypur feedbck on it.
Best regards, Sergey Nozhenko, SAP IBU Chemicals
