85%
Market response accuracy
94%
User satisfaction
$3 million
Projected annual savings
10%
Solution adoption rate
The challenge
Upgrading traditional market intelligence gathering
A global leader in paints and performance coatings, with a presence in over 150 countries, aimed to maintain its strategic advantage and stay ahead of competition from both local and global players.
Key challenges
Overwhelming requests from 1,200+ users in multiple languages
Slow response times, less engagement due to outdated search
Effort-heavy data staging and information retrieval
Need for automated content curation
Need for precise insights
The solution
GenAI-powered knowledge assist
Streamlined knowledge acquisition
Automated data ingestion
Topic modeling and tagging
Summarized key information for quick review
Intelligent user interaction
Provided human-like Q&A via natural language interface
Delivered relevant, query-based information
Provided domain-specific answers
Enhanced system reliability and adaptability
Performed rigorous checks to prevent hallucination
Provided multi-lingual support
Integrated user feedback for continuous improvement
Implementation approach
1
Model development
Implemented GenAI-powered Knowledge Assist
Used LLMs for topic tagging and information retrieval
Developed human-like Q&A chat interface
2
Value delivery
Refined search experience
Proactively delivered precise insights
Automated content curation
3
Data Integration
Ingested diverse articles on market trends and competition
Leveraged Azure OpenAI service
4
Expanding opportunities
Enabled AI solutions in R&D and procurement
Enhanced knowledge dissemination
The impact
Effective Knowledge Assist model development
Higher operational excellence
Reduced response time
Maintained high accuracy
Projected annual savings
Enhanced user experience:
Increased user satisfaction
Increased adoption rate
Personalized information delivery
Strategic client confidence
Higher client adoption
Client-centered scenario modeling
Seamless real-time adjustments
Looking ahead
Usage expansion
R&D & Procurement gain functionality
Gaining data versatility
Support diverse queries by many sources
Further product evolution
Adapt offerings to user needs
