Innovation and Insights with AI
VIDA helps you move from the traditional way of doing things to an AI and data-driven process that helps you analyze every piece of data and information that you and your partners generate across the retail value chain.
- Specific Calls to Action based on user persona – Recommendations are provided to improve KPIs based on KPIs for the users’ persona. These recommendations can be insight-based as well as predictive. A few examples of this solutions are:
- Insights: A product category sale could be dropping because sales personnel have not visited a particular store for last 1 week
- Prescriptive Analytics: Bundling Product A with B for loyalty customer will result in sales improvement of 0.5%
- Ad-hoc Query in a Self-Service Model for Business Executives – Reports are delivered by running analysis on search of business terms. Examples of such reports are Sales by region, Stores with declining sales, Portfolio performance for X and more.
- Use the existing data assets within the organization and integrate the same quickly. This data is be organized in a semantic layer for easier querying and usage.
- Use of modern techniques for data delivery and visualization to deliver intuitively quick reports
- Collate data to provide a link to existing reports already prepared for detailed analysis, if required
VIDA – Bringing Data to Life
Customer Engagement is 25% greater with companies that demonstrate analytics prowess. With our unique mix of ‘business backwards’ consulting, advanced analytics know-how and thoughtful design that maps your customers journey and needs we empower you to succeed by putting your Customers first.