Data Science Case Studies from Outsource2india

Data science is an emerging technology which includes knowledge and working expertise in machine learning algorithms, AI, Cognitive computing, Predictive analytics, etc. Choosing the right company which can provide advanced data science services in India is difficult, as there are only a handful of reliable providers. Outsourcing data science services is therefore a critical decision which can define your business growth.

At outsource2india, we are at the forefront of industry-leading technologies and have been offering customized solutions in Data science to global audience.

Our data science case studies or success stories stand as a tangible proof of the efficiency, expertise, and professionalism of our data science outsourcing services.

Helped US Mortgage Company by Automating LQI Process

O2I helped a Mortgage Company in the US by Automating Loan Quality Investment (LQI) Process

A top mortgage company in the US contacted Outsource2india for automating loan quality investment (LQI) process. After studying the requirements in detail, we assigned an expert team consisting of engineers and big data scientists who successfully modelled a solution through Cognitive Process Automation. Our solutions enhanced the transaction accuracy, and rate of work while simultaneously lowering the processing time and manual FTE.

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Route Optimization to Dairy Supplier to Streamline Product Delivery

O2I's Route Optimization Services Helped a Leading Dairy Supplier in the Middle East Streamline Their Product Delivery

Route optimizations services by Outsource2india leveraged machine learning techniques to group different regions based on proximity and created the best possible sequence plans to help a leading Middle Eastern dairy supplier achieve streamlined delivery and optimized routes.

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Dynamic Data Collection for Logistics Firm

O2I Helped a Logistics and Security Services Company Dynamically Collect Telemetry Data from Vehicles

Outsource2india captured data in real time, stored it in the big data, and analyzed it using machine learning techniques to optimize routes and raise timely alerts against potential frauds, thereby helping the Logistics firm get real time visibility into their delivery and dispatch.

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