Product recommendations with AI Agents improve sales by 5%
Marketing content automation with GenAI delivers $1.3M annual savings
AI-powered demand forecasting improves order planning efficiency by 30%
Built an AgenticAI-powered sales enablement platform that unified pre-call planning and post-call intelligence to help pharmaceutical field teams engage HCPs more effectively.
Built a centralized AI platform that enabled marketers to dynamically target micro-segments of healthcare professionals (HCPs) with personalized content for higher engagement.
Optimized medical device reporting compliance using Generative AI-powered models that reduced manual effort in the complaint handling process.
Built a secure data clean room to transform fragmented bottler reporting and performance tracking system that would deepen collaboration between manufacturer and partners.
A leading global CPG company partnered with Sigmoid to address revenue leakage caused by inconsistent in-store execution across major US retailers.
Sigmoid built a Agentic AI powered logistics analytics platform with chatbot to drive intelligent, insight-led decision-making across outbound transportation operations.
A major financial services company in the consumer lending business partnered with Sigmoid to improve the account-level profitability of their auto loan portfolio.
Sigmoid deployed a GenAI-powered compliance assistant to streamline content reviews across text, image, and video for faster marketing campaign launches.
A global F500 consumer goods company partnered with Sigmoid to modernize its support operations for creating a predictive, scalable and cost-effective system.
A leading MedTech equipment manufacturer partnered with Sigmoid to automate the extraction and validation of UDI attributes from product labels for compliance with evolving global regulations.
A global MedTech leader partnered with Sigmoid to accelerate product development by improving access to critical R&D knowledge buried in fragmented documents and systems.
Sigmoid helped a global B2B chocolate and cocoa products manufacturer achieve faster response to customer and higher portfolio utilization by implementing an Agentic AI-based product recommendation solution.
Sigmoid helped a global food manufacturer tackle evolving EPR regulations by building a scalable BI solution to enable real-time reporting, simulate packaging costs and drive sustainability across packaging operations.
Developed a centralized enterprise data marketplace for a global consumer health manufacturer to streamline data discovery, improve governance, and accelerate access to trusted data across business teams.
Sigmoid helped a global consumer health brand transform its manual product claims development process into a scalable, scientific workflow across 20+ markets.
Sigmoid helped a global FMCG company improve demand forecasting accuracy to reduce inventory imbalances, costly air-freight shipments, and supply chain costs across LATAM.
A leading multinational CPG company partnered with Sigmoid to implement a supply chain control tower that unified operational data and improved case fill rates through real-time performance visibility.
Sigmoid helped an equipment manufacturer streamline its marketing content generation process by developing a GenAI-based platform with integrated compliance checks.
Sigmoid helped a global consumer products manufacturer improve its finance data operations through a comprehensive technology modernization initiative.
Sigmoid analyzed the platform’s existing codebase to design detailed service flow and data flow diagrams, identifying critical inefficiencies and areas for optimization.
Sigmoid executed a comprehensive migration strategy to transition the company’s data architecture from Azure to AWS and Snowflake.
Designed a data-driven network optimization algorithm to bring down cost-to-serve across the supply chain.
Sigmoid helped a global consumer goods company reduce manual efforts and improve data accuracy for sales and market operations teams.
Sigmoid’s unified marketing analytics platform helped a major media and entertainment studio consolidate campaign data across channels to optimize marketing spend and maximize box office performance.
Optimized inventory and minimized stockouts through near real-time forecasts and faster order fulfillment.
A highly secured and governed data marketplace within the enterprise data ecosystem brought together all the data products and data assets in a centralized location for seamless consumption.
Recommended the best assortment mix and shelf positioning to improve category sales at a large retailer.
Connecting multiple ERP systems over a data lake improved access to data for better financial forecasting.
An automated, data-driven forecasting solution generates real-time category level insights at weekly frequencies to optimize inventory.
Sigmoid helped automate brand health scorecards for tracking marketing performance globally through a unified data platform.
A unified data platform with data mesh architecture facilitated creation and consumption of data products for commercial operations.
Sigmoid built an enterprise-grade data quality platform that transformed data governance for the customer and enabled decision-making.
Data mesh led platform democratized access to survey and reporting data which enabled product innovation and targeted marketing campaigns.
A holistic consulting and implementation exercise helps to diagnose gaps and identify opportunities for streamlining GTM budget planning process.
Sigmoid designed and implemented a reference architecture for unified trade to modernize the legacy data infrastructure which enhanced operational efficiency and fast-tracked computation of business credit scores.
Developed an ML-powered cash forecasting solution for a global consumer enterprise that integrated multi-market financial data to predict cash flows and improve planning accuracy to 95%.
Sigmoid provided a customized demand forecasting solution utilizing advanced ML algorithms, incorporating market indicators and macroeconomic parameters. The solution enabled swift responses to market dynamics resulting in 80% faster time to insights.
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%.
A global snacks manufacturer partnered with Sigmoid to build a centralized eCommerce insights hub that unified digital commerce data and strengthened demand planning across markets.
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.
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.
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.
Sigmoid built a centralized marketing data platform on Azure with automated data pipelines to optimize marketing campaigns’ ROI for a leading medical technology company.
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.
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.
Sigmoid’s cloud optimization and governance framework helped a large enterprise streamline Azure workloads, implement serverless architectures, and reduce cloud infrastructure costs significantly.
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.
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.
Sigmoid optimized Snowflake's performance by implementing best practices for data migration, resulting in a 10X improvement in the efficiency of data pipelines.
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.
Sigmoid leveraged cloud-agnostic, Low Code/No Code (LC/NC) tools to create automated data pipelines that generate insights on 70+ key performance metrics.
An enterprise-level unified BI platform that enabled near real-time tracking and analysis of 50+ business KPIs.
Developed an automatic preventive maintenance framework to detect failure patterns on hydroforming presses for timely maintenance.
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.
Developed assortment lifecycle intelligence to optimize overall investment in products to focus on key categories and high potential products.
Developed an ML-based demand forecasting model to improve forecast accuracy and enhance visibility in the supply chain.
Built AI deployment environment for faster deployment of ML models across departments.
Built a robust automated solution to suggest keyword recommendations and campaign strategy changes.
Improved in risk assessment time and enabled near real-time flagging of data anomaly.
Automated the process of data migration to Snowflake and visualization on DOMO to analyze digital data.
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.
Building data pipelines to make quality datasets ready for ML use cases.
Customer segmentation leading to targeted and tailored marketing communications.
Automated data ingestion from 30+ diverse sources and enabled 2.5x faster time to insights for marketing team.
Built an automated master production schedule for multiple manufacturing plants to improve agility and efficiency in resource allocation.
NLP-based social media analytics helped identify pain-passion points of customers and accelerate product innovation.
Created a set of 10 dashboards to be used by different business teams for real-time campaign reporting, optimization, and analysis.
A multinational CPG company partnered with Sigmoid to implement MLOps for pricing models, reducing model runtime from 8 days to 14 hours and cutting costs by 87%.
A global industrial tools manufacturer partnered with Sigmoid to re-architect data pipelines, delivering 10× faster dashboard queries and near real-time machine monitoring.
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.
Sigmoid transformed manual, error-prone reporting into a standardized, automated global ecosystem, enabling real-time anomaly detection and error-free regulatory compliance across mining sites.
A food and beverage manufacturer partnered with Sigmoid to deploy AI-driven OEE monitoring, improving machine effectiveness by 2.5% with real-time alerts.
Improved large-scale retail data processing for a retail data provider by re-architecting Azure pipelines, reducing Spark runtimes from 90+ minutes to under 15 and boosting performance by 80%
Developed ML-driven churn analytics for a consumer subscription business, improving prediction accuracy 2.5x and boosting customer retention by 70%.
A major pet food brand partnered with Sigmoid to implement MTA and MMM, increasing new user conversions by 15% while enabling fully automated marketing reports.
A multinational FMCG company partnered with Sigmoid to automate data ingestion from 10+ retailers, unlocking near real-time sales insights and $1.5M in cost savings.
A global retailer partnered with Sigmoid to build a scalable data infrastructure, processing 250TB+ of POS and customer data to enable faster analytics.
Developed a scalable demand forecasting solution for a leading Latin American cosmetics brand, improving prediction accuracy by 70% and saving $30M in inventory costs.
Sigmoid led the GCP cloud migration efforts for a global ad exchange, reducing operational costs by 65% and significantly improving data processing efficiency.
A top-tier investment bank partnered with Sigmoid to modernize trade surveillance pipelines, processing 100M+ rows daily and accelerating compliance timelines from T+3 to T+1.
A global restaurant chain partnered with Sigmoid to implement 1:1 personalized email marketing, driving a 7% sales uplift and significantly improving conversion rates.
Sigmoid built a scalable cloud-based ML system for a cosmetics company, enabling production-ready model deployment and reducing manual effort across markets.
Built a multi-armed bandit–based personalization engine for a global cosmetics company, boosting profitability by 8% and increasing sales per consultant by 24%.
Sigmoid built an ML-driven multi-touch attribution solution for a global consumer goods company, improving campaign effectiveness by 11% with weekly optimization insights.
A multi-cloud platform provider partnered with Sigmoid to build highly available data systems, reducing operations costs by 60% and incidents by 55% with 24×7 monitoring.
Developed an adaptive, self-learning identity graph for a global IT company, improving match rates by 11% and boosting predictive power by 15%.
Sigmoid built a data-driven price optimization engine for a leading CPG company that leveraged demand forecasting and campaign-level analytics to drive up to 30% QoQ revenue growth.
A global fast-food chain partnered with Sigmoid to productionize ML-based recommendation models using a scalable test-and-learn architecture that automated personalized email campaigns at scale
Developed ML–based CLTV prediction models for a Fortune 500 bank to forecast customer revenue potential, improve targeting, and increase marketing ROI by 33%
Sigmoid’s machine learning–based fraud detection framework helped a financial services firm identify suspicious transactions in real time while minimizing false positives.
A large insurance provider partnered with Sigmoid to build an AI-based property damage estimation model that automated claim evaluation and reduced manual assessment time.
Deployed Sigmoid CampaignIQ, an AI-based targeting solution for a digital advertising company to identify the most relevant audience segments that improved campaign engagement performance.
Enterprise analytics platform by Sigmoid helped a global organization consolidate siloed datasets into a single environment for scalable reporting, data exploration, and faster insights.
A leading healthcare analytics organization partnered with Sigmoid to build predictive risk scoring models that identified high-risk patient groups and improved population health management.
Developed advanced audience segmentation models for a consumer-focused brand to identify high-value customer cohorts and enable more targeted and personalized marketing campaigns.
Sigmoid’s data modernization initiative helped a leading CPG manufacuring enterprise unify fragmented data pipelines and reporting systems to establish a reliable single source of truth for business analytics.
A global adtech platform leveraged Sigmoid CampaignIQ to automate and optimize bidding decisions and audience targeting to improve advertising performance across programmatic media channels.
Built an advanced analytics framework for a digital marketing company to evaluate lead sources, optimize acquisition strategies, and improve conversion efficiency across campaigns.
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.
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.
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
