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Data Migration and Modernization
for a leading e-commerce
platform for health & wellness

50,000+
healthcare and wellness
products

12+ million
active customers across
the globe

180+ countries
supported with fulfilled
orders

Business Case

The client offering health and nutrition products globally realized that its legacy DB2 system could no longer support growing business demands. Data was scattered across several systems leading to following challenges in:

EPR

No unified view of products, SKUs, customers, or sales channels, limiting strategic insights

Marketing

Inability to measure campaign effectiveness and allocate spend efficiently, leading to poor conversions.

Pricing systems

Lack of real-time updates created a rigid, outdated pricing structure.

Inventory management

Frequent stockouts and ageing inventory due to missing expiry tracking.

Impact Delivered

15% reduction in
marketing spend

Via segmentation and high-propensity targeting with Marketlo™

20% improvement
in inventory
turnover

Predictive analytics reduced ageing and stockouts​

50% fasterreporting andinsights generation

Snowflake + Power BI enabled near real-time data access​

Our Solution

We adopted a phased, consultative approach to modernize the client’s data landscape:

Centralized Data Warehouse

Built a unified warehouse with integrated facts (orders, shipping) and dimensions (product, customer, region, channel) aligned to SKU and product hierarchies.

SQL to Snowflake Migration

Transitioned legacy SQL systems to Snowflake for scalable, cloud-native architecture.

Forecasting & Inventory Optimization

Deployed predictive models to reduce stockouts, manage SKU expiry, and drive efficient pricing strategies.

BI Modernization

Upgraded from Sisense to Power BI after evaluating performance and usability against Tableau.

Data Unification

Integrated siloed sources—ERP (Mozart), pricing systems, marketing data (Adobe, Google, Yahoo, Amplitude, Creteo), and Revionics—into a single source of truth.

Customer Intelligence with Marketlo™

Used Inferenz’s proprietary platform to segment and predict customer behavior (e.g., 80% aged 60+), enabling 0–100 centile-based targeting and optimized catalogue delivery.

Tech Stack

Snowflake

Amplitude

Google Analytics

Power BI

Adobe Analytics