Indian e-commerce brand, actively developing and with a large range of home essentials, low prices with convenient delivery
Online retail and consumer goods, which is conducted through web and mobile commerce
Wide value-based product line with high delivery speed and prompt customer service to repeat purchases
Replace fragmented data and manual analysis with a unified Customer 360 and predictive insights to personalize at scale and improve campaign performance
Incomplete journeys obscured preferences and intent, weakening segmentation and suppressing relevance across key touchpoints
Targeting and offers relied on guesswork, leaking budget into low-yield cohorts and missing high-intent moments
Web, app, CRM, social, and support systems operated separately, blocking a unified Customer 360 and consistent KPIs
Batch reports delayed optimization; teams reacted to trends days late instead of in-session
Disconnected metrics clouded channel impact, complicating budget shifts and executive decision-making
Centralizes web, app, CRM, social, and support data into a single source of truth for analytics and activation
Live profiles and journey stitching surface behaviors, RFM signals, and segments to target them accurately
Anticipates next-best-action and churn threat to activate time-sensitive offers, creatives, and journeys
Executive-ready dashboards show funnel health, cohort trends, and ROI for rapid optimization
Role-based access, automated pipelines, and governance deliver insights to marketing, sales, and support
Central data lake unifying multi-channel customer data with durable storage, lifecycle policies, and secure, scalable access
Managed ML platform for training, tuning, and deploying propensity, churn, and recommendation models at scale
Collaborative IDE for feature engineering, experimentation, and reproducible pipelines with scheduled model refreshes
Lightweight application/API layer exposing insights, dashboards, and real-time scoring to marketing and CRM workflows
Targeted journeys and next-best offers increased repeat interactions and session depth
Behavior-led targeting improved add-to-cart, checkout completion, and revenue per session
Automated pipelines cut manual reconciliation and ad-hoc reporting
Real-time profiles aligned marketing, sales, and support on one source of truth
Dashboards enabled mid-flight budget shifts, creative tests, and merchandising changes within hours
Personalized journeys deepened sessions and increased repeat interactions.
Behavior-led targeting boosted add-to-cart, checkout completion, and revenue
Automated pipelines replaced manual data stitching and ad-hoc reporting
A single source of truth aligned marketing, sales, and support on shared KPIs
Live dashboards enabled mid-flight budget shifts, creative tests, and rapid optimization
You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
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You’re one step away from building great software. This case study will help you learn more about how Simform helps successful companies extend their tech teams.
