Videos | Big Data Use Casesuser2021-12-20T13:32:07+00:00
eCommerce Campaign Optimization for 25% improvement in ROAS
Sigmoid created an automated solution to suggest recommendations and campaign strategy changes for various online platforms such as Amazon and in the long run, improve organic sales.
Churn Analytics improves customer retention by 70%
Sigmoid developed ML based prediction models based on granular understanding of different customer segments to predict those likely to churn and improve the retention rate.
DataOps for 24/7 Monitoring and Scalable Systems
Sigmoid developed highly scalable data systems to ensure 99.99% uptime, zero outages and seamless deployment of new applications for a leading cloud service provider.
Automated data ingestion for near real-time insights
Sigmoid built a data foundation for a leading CPG company to leverage data from different retailers in near real time and enabled automated reports, reducing the time to access data from 7 days to 2 hours!
Timely and accurate demand forecasting at scale
Sigmoid’s accurate demand forecasting solution reduced inventory handling costs & reduced time to plan campaigns by 66%.
Automation of ML data pipelines using Spark
Sigmoid productionized the MAB model for a major restaurant chain that delivered tailored emails to over 12Mn customers resulting in 8% sales uplift.
Development of Spark based ETL on GCP
Sigmoid developed a Spark based system for a leading AdTech company that optimised their data infrastructure landscape resulting in $2.5Mn+ annual cost savings and faster query processing.
Increasing profitability through personalized recommendation of offers
Sigmoid improved CLTV& increased sales per order by 24% for a leading cosmetics giant by developing scalable personalised strategies using advanced ML algorithms.
Timely Inflight campaign optimization with MTA
Sigmoid enhanced marketing effectiveness by building Multi-Touch Attribution models on Azure using Rule mining and predictive ML algorithms leading to an increase in Marketing ROI.