Data monetization with a scalable and configurable platform for financial institutions unlocks new revenue streams

Sigmoid developed a data mesh architecture on GCP to consolidate data from multiple sources and develop data products which helped our client monetize their data and reduce the time required to commission new customers by 90%.

Global eCommerce insights hub improves demand planning, leading to 5% uplift in channel sales

Sigmoid developed a centralized data insights hub for global eCommerce as a Single Source of Truth (SSOT) for improved reporting and planning. This enabled a control tower that helped the analytics team gain visibility across the eCommerce channels leading to improved planning and sales.

Data mesh architecture enables data-as-a-product and lowers inventory costs by 15%

Sigmoid developed a data mesh architecture for modernizing enterprise data to enable next-gen analytics use cases that helped the client improve sales and inventory.

Assortment recommendation engine maps the right products with outlets leading to 14% sales growth

Sigmoid developed an assortment optimization solution with customized prediction and recommendation models using Databricks to help a leading alcoholic beverages company improve customer experience by placing the right products at the right outlets and drive sales.

Centralized data lake and automated data pipelines drive real-time KPI monitoring through a Supply Chain Control Tower

Sigmoid optimized logistics management by building a centralized data lake with automated data pipelines to facilitate fast and error-free reporting and improve dashboard performance for crucial supply chain KPIs in real-time.

Omnichannel marketing data hub optimized campaign execution resulting in a 5% uplift in lead conversion

Sigmoid built a centralized marketing data platform on Azure with automated data pipelines to optimize marketing campaigns’ ROI for a leading medical technology company.

ML based image processing with Google Vision delivers deep insights into consumer buying patterns

Sigmoid developed an image analytics based solution powered by deep learning to help an American multinational F100 consumer products manufacturer gain insights into consumer buying patterns, product preferences, and brand penetration.

ML based targeting and campaign optimization increases ROAS on Amazon by 10x

A kids nutrition brand partnered with Sigmoid to increase spend efficiency and accelerate sales on Amazon by identifying the right target audience and optimizing campaign settings like budgets, bid value, and ad frequency for each campaign.

Best practices to manage data and services on Azure optimizes cloud costs by 25%

Sigmoid evaluated the data workloads, subscriptions, and resource groups on the Azure cloud and implemented best practices such as serverless architecture and autoscaling. In the first month, a 25% reduction in cloud subscription costs across development, QA, and production environments was observed.

Real-time integration of IoT sensor data with automated data pipelines for effective logistics management

Sigmoid optimized logistics management by re-architecting the data platform and building robust and scalable data pipelines which resulted in faster data collection, improved data quality, and seamless pipeline extensibility.

Data integration & standardization on Google cloud improves time to insight by 25%

Sigmoid developed a centralized and scalable data warehouse on Google Cloud to optimize data-driven decision-making. A single source of truth for multiple data sources was created to address legacy data warehouse challenges of data discoverability, governance, and security.

Data migration from on prem systems to Snowflake reduces time to insights by 10X

Sigmoid optimized Snowflake's performance by implementing best practices for data migration, resulting in a 10X improvement in the efficiency of data pipelines.

Data hub on AWS enables near real time tracking of 20+ KPIs to improve sales performance and customer satisfaction

We created a data hub on AWS for field sales, regional sales and marketing leaders across multiple levels of hierarchy and get access to 20+ sales KPIs in near real time.

Generating near real-time insights for a restaurant chain on a balanced scorecard powered by a LCNC data platform

Sigmoid leveraged cloud-agnostic, Low Code/No Code (LC/NC) tools to create automated data pipelines that generate insights on 70+ key performance metrics.

Data standardization from 20 ERPs into Snowflake and BI platform development for faster access to 50+ business KPIs

An enterprise-level unified BI platform that enabled near real-time tracking and analysis of 50+ business KPIs.

Automatic preventive maintenance framework to detect faults and reduce scheduled maintenance costs

Developed an automatic preventive maintenance framework to detect failure patterns on hydroforming presses for timely maintenance.

Centralized portal for BI results in seamless access to 30K+ reports and dashboards with faster access to insights

Sigmoid developed a centralized data portal with report cataloging functionality which led to faster report discovery across teams, enhanced collaboration between teams and faster time-to-market.

ML-based assortment lifecycle solution increases market share by 0.8%

Developed assortment lifecycle intelligence to optimize overall investment in products to focus on key categories and high potential products

ML-based demand forecasting model to reduce data run-time by 20x

Developed an ML-based demand forecasting model to improve forecast accuracy and enhance visibility in the supply chain

Centralized AI deployment environment for a CPG brand reduced time to scale ML models by 85%

Built AI deployment environment for faster deployment of ML models across departments

Campaign optimization for a CPG brand resulted in a 25% improvement in ROAS

Built a robust automated solution to suggest keyword recommendations and campaign strategy changes

Automating Financial Crime Compliance analysis for a leading investment bank

Improved in risk assessment time and enabled near real-time flagging of data anomaly

Data migration to Snowflake for 5x faster web analytics and insights visualization on DOMO

Automated the process of data migration to Snowflake and visualization on DOMO to analyze digital data

Cloud optimization led to a 54% reduction in cost for a leading CPG company

Cloud monitoring and optimization to reduce cost and building custom dashboards to get granular details of billing patters

ML-driven recommendation to power real-time sales analytics

ML-driven recommendation to power real-time sales analytics

Building and maintaining robust data pipelines to make quality datasets ready for ML use cases

Building data pipelines to make quality datasets ready for ML use cases

ML-based Consumer Profiling and Segmentation for Improved Marketing Spend

Customer segmentation leading to targeted and tailored marketing communications

Centralized Data Lake for Real-time Analytics and Reporting

Automated data ingestion from 30+ diverse sources and enabled 2.5x faster time to insights for marketing team

Automated Production Schedule for Manufacturing Plants

Built an automated master production schedule for multiple manufacturing plants to improve agility and efficiency in resource allocation.

Social Media Analytics Accelerates Product Innovation

NLP-based social media analytics helped identify pain-passion points of customers and accelerate product innovation.

Single Source of Truth for Real-time Marketing Campaign Optimization

Created a set of 10 dashboards to be used by different business teams for real-time campaign reporting, optimization, and analysis

90% Improvement In ML Model Run Time Using MLOps

Improved model performance, reduce model run time, increased scalability and reduced cost of model deployment using MLOps

Improving Dashboard Query Performance by 10X

Re-architected efficient and near real-time ETL data pipeline while enabling centralized monitoring of dashboards

AI-powered data imputation boosts sales performance

Sigmoid leveraged a neural network-based deep learning library to predict the missing data values with up to 98% accuracy to help a semiconductor manufacturer boost its sales performance.

Data Standardization to Track Data Anomalies for Operational Efficiency

Built automated report and visualize high-quality data on Tableau dashboard

2.5% improvement in OEE of machines

Built and automated an AI system to improve the overall equipment effectiveness (OEE)

80% performance improvements in data pipelines

Built scalable and high performing data pipelines in an Azure data platform

Churn Analytics Improves Customer Retention by 70%

Predictive machine learning models to determine customers likely to churn

15% lift in new user conversion using MTA and MMM

Real-Time Demand Generation Attribution

Automated Data Ingestion from 10+ retailers for near real-time insights into sales trends for a CPG company

Data Lake creation

250TB+ data processed for faster customer analytics

Customer Analytics and Data Warehousing

70% better accuracy for demand forecasting

Demand Forecasting

65% cost savings with efficient Cloud Migration to GCP

Cloud Migration

100MN+ rows of data per day processed for improved trade surveillance

Trade Surveillance

7% sales uplift using 1:1 personalized email marketing

1:1 Personalized Marketing

Production-ready system by building and integrating scalable ML models

Productionize Demand Forecasting Models

8% profitability boost through personalized recommendation engine

Personalized Recommendations

11% improvement in marketing campaigns using MTA

Marketing Attribution

24×7 monitoring and support using highly available, robust systems

Improved Data Pipeline Availability

11% match rate improvement with adaptive identity graphs

Identity Graphs

30% QoQ revenue uplift with price optimization engine

Price Optimization

100MN+ personalized emails sent by productionizing MAB model

Productionize Personalized Marketing Models

33% improvement in ROMI using CLTV models

CLV Prediction

85% reduction in false positives using real-time fraud detection

Fraud Detection

Faster and more accurate settlements through automation

Property Claim Estimation

Enhanced transparency and visualization of millions of customer data points

Audience Targeting

Unified interactive analytics and external reporting for enhanced transparency

Unified Analytics Platform

15% reduction in premium using ML-backed underwriting system

Group Risk Scoring of Patients

79% accuracy of the retargeting model

Audience Segmentation

Faster analysis on 250TB+ data and creation of a SSOT

Single Source of Truth Creation

Automatic bidding with 80,000+ coefficients

Bid Optimization

80% precision improvement using ML-based approach to lead buying

Lead Buying

ML based image processing delivers insights into consumer buying patterns

Sigmoid developed an image analytics based solution powered by deep learning to gain insights into consumer buying patterns, product preferences, and brand penetration for an American F100 consumer products manufacturer.

ML based targeting and campaign optimization increases ROAS on Amazon by 10x

Sigmoid’s ML based solution enabled a leading CPG company specializing in health, hygiene, and nutrition products to improve target audience conversion rate on Amazon ads portal by leveraging extensive data from both first party and external data sources.

Data migration from on prem systems to Snowflake reduces time to insights by 10X

Sigmoid optimized Snowflake's performance by implementing best practices for data migration, resulting in a 10X improvement in the efficiency of data pipelines.

Balanced scorecard & LCNC data platform generates insights on 70+ key metrics

Sigmoid implemented cloud-agnostic, Low Code/No Code tools that integrated multiple data sources with varying levels of granularity. The solution leveraged data pipelines to create multilayered dashboards with critical brand performance metrics such as brand loyalty, operational excellence, profitability, and more.

Centralized AI deployment environment reduced time to scale ML models by 85%

Sigmoid built a unique AI deployment environment for a leading CPG brand that allowed multiple business teams to run ML models and scale them across multiple departments and geographies. It ensured faster deployment of ML models across while reducing the cost of running models by 2x.

Automated data pipelines deliver 10X faster insights from IoT sensors

Sigmoid built an efficient and near real-time ETL data pipeline for the customer that resulted in faster query processing time and increased scalability. The solution facilitated centralized monitoring of dashboards allowing quick identification and resolution of machine downtime.

Improving product profitability with ML driven assortment intelligence

Sigmoid helped a global F&B major with a ML solution to align their brand strategy with business rules and promotion guidelines that led to an improvement in market share by 0.8% and 3% improvement in contribution margin.

Improved forecast accuracy while saving forecasting costs by 5x

Sigmoid helped a leading alcoholic beverage company predict demand accurately to optimize their supply chain, improve inventory management and improve risk mitigation.

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.