CIP delivers contextual marketing & loyalty personalization with predictive modeling algorithms, equipping marketers to perform appropriate segmentation, persona creation, & product category analysis.
Our Customer Intelligence platform for retail is a framework to build an end-to-end customer insight and execution platform for CMOs by leveraging and integrating multiple technologies from Microsoft like Azure Data Lake, Azure Cognitive Services, BOTs, Integration API Management, Azure Synapse, etc. We start with an assessment-led consulting using Microsoft's professional services and our business consulting to understand the client's vision and ecosystem and then define the further roadmap of the platform using Microsoft technologies.
Customer Intelligence Platform Advantages • Zero CapEx, long-term OPEX model • Incremental business value with demonstrated top-line and bottom-line impact • An accelerated path to profit with reduced implementation time • Plug and play components with easily integrated with the existing landscape
Customer Intelligence Platform Features • Integrated Analytics Engine Powering Retail Orchestrations • Intelligent Insight Center Delivering Real-time Recommendations • Intelligent Virtual Assistant Supporting Customer Journey • Intuitive Loyalty Management Delivering Personalized Offers • Real-time Campaign Execution Leveraging CRM and Marketing Automation
The framework is built on Microsoft services and solutions like Azure Data Lake, Azure Cognitive Services, BOTs, Integration API Management, Azure Synapse, Azure App Service, Azure SQL and Azure CDN, and other Microsoft clouds. Schedule and Deliverables Week 1-3: Consulting-led Assessment Deliverables: Business Requirements Document, Use case Identification, Platform Rollout Roadmap
Week 4- 7: Dev/Test/QA
Deliverables - Use case-led MVP/pilot, Data Strategy Roadmap, Design UI/Mockups, New use case roadmap
Week 8-10: Go-Live Deliverables: Data Lake environment in Azure, Insights, Dashboard, Intelligent Apps, QA and Test Results, Go-Live SOW, documentation, test cases and test results, Please note that the schedule and deliverables may differ based on the scope of work.