Doubling Down on Data: A Retail Transformation Case

The major retail chain operated across the country but was hampered by antiquated BI infrastructure that failed to keep up with customers’ immediate mobile pricing expectations. Requiring an integrated, scalable solution for online and in-store data management, they needed capabilities for dynamic pricing, personalized marketing, and inventory optimization. Centizen’s cloud-native BI and analytics platform transformed their business operations and strengthened their market position.
The major retail chain operated across the country but was hampered by antiquated BI infrastructure that failed to keep up with customers’ immediate mobile pricing expectations. Requiring an integrated, scalable solution for online and in-store data management, they needed capabilities for dynamic pricing, personalized marketing, and inventory optimization. Centizen’s cloud-native BI and analytics platform transformed their business operations and strengthened their market position.
Discovery and Planning
Specialists engaged through Centizen conducted structured workshops to assess the client’s legacy BI setup. They identified key integration gaps, data silos, and scalability challenges, while outlining the requirements for real-time analytics and omnichannel data visibility.
Data Migration
POS data was migrated into AWS Lake Formation to establish a secure, centralized data lake. AWS Private Link enabled fast, encrypted data flow, while JSON and Parquet formats were adopted for efficient storage and downstream processing.
Real-Time Pipeline Development
Using Apache Kafka and AWS Kinesis, the team developed real-time data pipelines to stream POS, customer, and IoT data. These feeds powered instant insights for pricing decisions and personalized in-store engagement, addressing the client’s latency-sensitive use cases.
Predictive Analytics Deployment
Talent sourced by Centizen implemented advanced analytics using Databricks, Spark MLlib, and TensorFlow for churn prediction, demand forecasting, and customer segmentation. AWS SageMaker was leveraged to deploy live recommendation models across customer touchpoints.
Visualization and Testing
Dashboards were developed using Tableau and Power BI
to monitor sales, inventory, and customer behavior. AWS IAM and KMS ensured secure access, while validation cycles confirmed data accuracy and system reliability.
Deployment and Training
Following deployment, the client’s internal teams were trained to navigate dashboards and interpret AI-driven insights. Centizen ensured smooth knowledge transfer, enabling confident adoption across departments.
Through a 16-week transformation driven by Centizen-aligned experts, the client transitioned from fragmented reporting to real-time, AI-powered business intelligence, unlocking measurable improvements in efficiency and growth.
22%
increase in customer retention through personalized recommendations.
12%
improvement in profit margins via inventory optimization.
40%
enhancement in operational efficiency with real-time processing.
15%
rise in customer engagement driven by dynamic pricing.
With the right strategy and talent, Centizen unified the client’s data estate, enabling real-time insights and competitive agility in retail.
Services
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contact@centizen.com
Centizen
A Leading Staffing, Custom Software and SaaS Product Development company founded in 2003. We offer a wide range of scalable, innovative IT Staffing and Software Development Solutions.
Call Us
India: +91 63807-80156
USA & Canada: +1 (971) 420-1700
Send Us Email
contact@centizen.com
Centizen
A Leading Staffing, Custom Software and SaaS Product Development company founded in 2003. We offer a wide range of scalable, innovative IT Staffing and Software Development Solutions.
Call Us
India: +91 63807-80156
USA & Canada: +1 (971) 420-1700
Send Us Email
contact@centizen.com