Sigmoid’s accurate demand forecasting solution reduced inventory handling costs & reduced time to plan campaigns by 66%.
Sigmoid productionized the MAB model for a major restaurant chain that delivered tailored emails to over 12Mn customers resulting in 8% sales uplift.
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.
Sigmoid improved CLTV& increased sales per order by 24% for a leading cosmetics giant by developing scalable personalised strategies using advanced ML algorithms.
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.