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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