Client: Online Retailer
Problem: Customer service was always handed to level 2 or level 3 support as level 1 was not trained and difficult to hire and retain.
Our solution: Chatbot for customer interactions based on NLP and machine learning.
Results: Better customer service and reduced staff due to chatbots.
Client: Online Shoe Company
Problem: Client was looking to provider better customer experience online with product Amazon and Netflix style product recommendations.
Our solution: Online product recommendations based on search using machine learning.
Results: Better customer experience and increased sales.
Client: Medium Size Financial Company
Problem: Client was looking to reduce online fraud and data breaches.
Our solution: Machine learning based fraud detection system.
Results: Client was able to detect fraud earlier and reduced reputation and financial loss.
Client: Media Company
Problem: Early detection of negative social media comments.
Our solution: Machine learning based customer service and reputation management.
Results: Client was able to reduce incidents 70% and better reputation management.
Client: Ecommerce Company
Problem: Client wanted to price products dynamically based on different factors.
Our solution: Dynamic pricing based on machine learning using customer behavior and past purchase habits.
Results: Improved profitability and sales by 40%.
Client: Ecommerce Company
Problem: Client wanted to improve customer service.
Our solution: Predictive customer service using machine learning helping client know how users will next contact and for what products.
Results: Improved customer service.
Client: Medium Size Energy Company
Problem: Client was having issues with ad spend and targeting.
Our solution: Machine learning based ad targeting.
Results: Improved ad targeting by 30%.
Client: Financial Company
Problem: Client wanted to segment customers.
Our solution: Machine learning based customer segmentation for up sell and cross sell opportunities.
Results: Improved profitability and sales by 55%.
Client: Pharma Company
Problem: Client wanted to forecast sales to allocate resources.
Our solution: Machine learning based solution to better forecast sales based on historic sales and other data.
Results: Improved asset allocation and resources learning to better profitability.
Client: Healthcare Company
Problem: Client wanted to detect early a rare form of cancer.
Our solution: Deep learning based Image recognition.
Results: Improved early detection and helping doctors with a second set of eyes.
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