AI can bridge the gap of marketing efforts and target audience by leveraging the shifts in consumer patterns
ZDS offers a wide range of expertise in Retail
problem solving and data analytics:
Revenue Management Analytics
Learning from historic Revenue data to manage targets and optimization strategies
Inventory and Shelf
Analytics
Analyze the performance of shelf stocking and manage an overall lean inventory
Personalized
Marketing
Running multiple machine learning models to identify a focused group of targets for marketing efforts
Supply Chain
Optimization
Manage the entire supply chain enabled by data driven visibility – know your Cost to serve, Optimize leakage and logistics cost
Productivity
Analytics
Tool to visualize the utilization of resources to enable proactive decisions
Compliance
Automated monitoring and reporting of multiple governance and compliances audits
Digital Marketing
Measurement
Gauge the performance of marketing tactics historically and for ongoing campaigns
Vendor
Management
Track vendor performance and pricing and leverage data for better negotiation
Assortment
Planning
AI based recommendation on how to plan an optimal assortment plan for all product categories
E-commerce
Analytics
Analyzing consumer behavior and shopping patters on e-commerce website using clickstream data and vendor data
Management
Dasboards
Creating self serving automated dashboards to get full visibility of all functions of a business – Finance, Marketing, Operations, Vendor management
Omnichannel
Analytics
Analysing consumer behaviour across platforms and performing entity resolution to plan strategic campaigns
Prediction and forecasting
Building various kind of prediction models – Sales forecasting, Customer Response, Demand planning, etc.
Marketing Mix Modelling
Machine learning models to help identify an optimal mix of channels to spend marketing budget on
Customer Analytics
Expertise to automate various types of reports with complex data sets
