Videos | Big Data Use Casesuser2022-09-13T12:26:16+00:00
2x faster website analytics with migration to Snowflake
Watch this case study to find out how Sigmoid helped a leading FMCG in the oral care segment build automated data pipelines to migrate their digital media data to Snowflake to overcome inconsistency and manual efforts of loading data.
54% higher savings with cloud optimization
Sigmoid developed an end-to-end Google cloud monitoring and optimization solution to reduce wastage on the data infrastructure costs for a leading CPG company.
ML-driven recommendation to power real-time sales analytics
Sigmoid developed an ML-based order recommendation engine for a leading CPG company for effective management of inventory and recommending new products to boost retail sales growth.
Enhanced trade surveillance with 4x faster data pipelines
Sigmoid helped a top-tier investment bank set up trade surveillance and make it regulatory compliant by setting up Spark-based ETL pipelines. We revamped existing systems to ensure optimal performance for the order of their trade surveillance while ensuring resource optimization and creating faster response times.
15% increase in capacity utilization with automated master production schedule
Sigmoid built a solution to efficiently predict scenarios based on optimization of important KPIs such as capacity utilization, safety stock maintenance, inventory to be maintained, raw material availability and scrap minimization for a fortune 500
Centralized and harmonized data lake for faster analytics and reporting
Sigmoid built a tactic-based data model for a Fortune 500 food manufacturing firm to standardize the input files from different data providers, agencies, and channels.
Multi-Touch attribution accelerator for CPG
The interactive dashboards help marketing managers and brand leaders to optimize performance, justify media spend and improve ROI.
ML model improvement & management using MLOps
Sigmoid developed a solution using MLOps that reduced the time to train the model and automated the model training. The solution resulted in 90% improvement In ML model run time.
E-commerce 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.
2.5% improvement in overall equipment effectiveness with ML
Sigmoid built and automated an AI system for a leading CPG – food and beverage company to improve the overall equipment effectiveness (OEE) of machines on their production lines.
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.