A Multi-tennant SaaS Platform

Upgrade on-prem software to a multi-tenant SaaS platform

Business Goal: Move an on premise data archival and application retirement platform into a cloud based SAAS platform with multi-tenancy support. Challenge: Customer sought to move from an on premise 9 node cluster based platform into cloud based Software as a Service (SAAS) platform. The goal is to offer customers cost savings from upfront costs […]
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Big-data-characterization

Big Data Characterization Framework

Business Goal: Build a big data characterization engine that simulates massive volumes of data to ensure timely availability of network, storage and compute capacity Challenge: With the ever growing Big data foot print, enterprises are faced with need for additional storage, network, and computing capacity. Many are struggling to keep up with or anticipate the […]
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B2B-merchandise-aggregation

B2B Merchandise Aggregation

Business Goal: Build high throughput B2B aggregation for speedy import of fashion merchandise SKUs from multiple boutique or wholesalers to sell over the e-channel in near real time. Challenge: A high end e-commerce fashion retailer was seeking to replace its  existing data acquisition process to source large volumes of merchandise data from multiple sellers and boutiques. […]
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eCommerce Recommendation Engine

eCommerce Recommendation Engine

Business Goal: To provide personalized recommendations based on consumer and socio-economic profile and purchase intelligence to increase up-selling and cross selling opportunities and to design personalized targeting and retargeting campaigns For more information, contact us Challenge: Consumers have short attention spans and eCommerce engines need to have the ability to keep high levels of engagement. In […]
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Demand forecasting and capacity planningplaceholder

Business goal:

Global capacity planning – Identify macro risk factors and predict demand.

For more information, contact us

Challenge:

Assimilating the right set data from a vast number of sources such as social media, web forums, news sources and blogs.

Solution:

Cueris analyzed streaming news, social media feeds and other data sources deploying certain machine learning techniques. Used select keywords to model consumer behavior, sentiment, risk and market fluctuations. Our data science team designed network theory based algorithm for demand prediction and capacity planning algorithm.

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Demand forecasting and capacity planningplaceholder

Business goal:

Global capacity planning – Identify macro risk factors and predict demand.

For more information, contact us

Challenge:

Assimilating the right set data from a vast number of sources such as social media, web forums, news sources and blogs.

Solution:

Cueris analyzed streaming news, social media feeds and other data sources deploying certain machine learning techniques. Used select keywords to model consumer behavior, sentiment, risk and market fluctuations. Our data science team designed network theory based algorithm for demand prediction and capacity planning algorithm.

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