AI Platform Success Stories

Merging Data

Overview: Merge structured and unstructured data (documents, emails, and social media); then vectorize the data for efficient processing, and enable users to interact with the data.

Results: The AI Platform consolidated both structured and unstructured data, then vectorize it, and enabled advanced data interaction through an AI-powered user friendly chat interface.

AI Affect: One can leverage the AI-powered chat interface to provide advanced insights and make better informed decisions.

Raw Materials Management

Overview: To better understand raw material requirements and forecast demand, current data sources were consolidated before transforming the data with an AI Platform.

Results: AI generated WorkFlows, with real-time monitoring and automated alerts, allowed management to be proactive with their raw material levels, resulting in a 15% reduction in overall costs.

AI Affect: The company is now better equipped to meet demand fluctuations and maintain a competitive edge in the market.

Proactive Maintenance

Overview: Predicting equipment failures was elusive. Even with ERP, IoT and from 3rd party vendor services it was a struggle to accurately forecast when equipment failures and therefore create proactive value-added maintenance schedules.

Results: Created AI WorkFlows with predictive maintenance capabilities that reduced downtime, had lower maintenance costs and increased operational efficiency.

AI Affect: The company can now better predict and prevent equipment failures while improving strategic planning.

Enhanced Order Processing

Overview: Clean and merge the data from multiple sources for comprehensive order processing, analytics, and insights. This included converting large amounts of PDFs and images (including handwritten documents) using OCR with 90% accuracy.

Results: AI Platform was able to digest converted text from PDFs and images, including handwritten content, into machine-readable data.

AI Affect: Company can streamline order processing, enhance data accuracy, and provide advanced insights through an interactive AI-powered platform.

Improving Customer Experience

Overview: Enhancing the customer experience was accomplished by dissecting customer reviews and order data from multiple data sources, both outside and inside the organization. Up to this point, there was no way to gather, clean and consolidate data from product reviews and connect it with the customer profile, to better understand customer satisfaction.

Results: Improved customer satisfaction and loyalty.

– Increased sales through enhanced product recommendations.
– Optimized product offerings based on customer feedback.
– Better-targeted marketing campaigns.

AI Affect: Better understanding of customer preferences and behaviours, in order to present more qualified product recommendations and timely customer service.

Open Data Accessibility

Overview: Make open data more accessible and understandable for the general public. Cites and Municipalities needs a solution to auto-analyze their data and publish it on a user-friendly webpage that complies with accessibility standards.

Results: Complex data, which is difficult for the average person to evaluate and search, is bought into an AI Automated environment and made more useable to the average person.

AI Affect: Public Service Units can make open data more accessible and useful for all, enhancing public understanding and participation.