Data Modeling
Analyze and define customer behavior and purchasing data using machine learning to build emotional customer experience
Personalization
Personalization is the key to improving the customer experience. According to Epsilon survey, 80% of shoppers responded they would buy from a retailer that offers a personalized customer experience. Personalized customer experience drives a competitive advantage of retailers. At the same time, 53% of surveyed companies responded that they lack the right technology to personalize experiences according to Forrester.
Data Analytics Solutions for Retailers
A wide range of data analytics needs for retail companies across the value chain. Embracing the test and learn approach, we help our clients to start small and scale fast.
Production
Procurement
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Supplier management
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Purchase order
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JIT procurement
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Re-order inventory level
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Demand forecast
Inventory
Replenishment
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Inventory turnaround
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Over stock value
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Dead stock rate
Retail
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Sales KPIs
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Assortment performance
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Market basket
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Price elasticity
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Modular turnover
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Campaign performance
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Cashier performance
Customer
Management
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Customer segmentation
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Business area
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Customer satisfaction
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Customer reach-out
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Customer needs
Finance
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Budget analysis
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Cost analysis
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Stock depreciation
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Revenue forecast
Building Personal Touchpoints in the Customer Journey
We define and measure KGIs (Key Goal Indicators) of personal touchpoints in the customer journey.
Customer Acquisition
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Targeting
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Profiling
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Data mining
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CTR/CVR analysis
Conversion Rate
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Browsing behavior analysis
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Purchase history analysis
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Demography analysis
Retention Rate
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Basket drop rate
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Customer satisfaction
Awareness
Acquire
Retain
Advocacy
Traffic Driver
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Campaign performance
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Influencer analysis
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Media channel analysis
Basket Size
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Campaign performance
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Coupon usage
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Bot effectiveness
Building Target Sate Extensible Data Business Model
Building a data business model to embrace insight driven decision making and evolve extended business opportunities.
Continuous Innovation to Existing Business
New Value to Customers
Operation
Excellence
Promotion Enhancement
Customer Offering
Media
Platform
Ecosystem
Partnership
Analyzing purchase history data of customers, improve internal operations in marketing, inventory, merchandising, and replenishment.
Understanding the needs of customers from purchase history data, enhance product recommendations and loyalty programs for customers.
Leveraging data insights to improve customer offering
Build a media platform business based on data assets in association with customers shopping experience
Reinvent customer experiences by building ecosystem services that enables mutual use of business partners' services