Information when turned to intelligence, positively impacts retail business decisions.
Consumer insights
Evaluate consumer buying patterns that aid quicker and efficient decision making.
Insights on customer behaviour based on Purchase / Engagement behaviour
Understand Product / SKU Movements based on Customer behaviour
Identify trends on Product Mix based on Customer Intent (in-store / online / Marketplaces)

Store health
Score your Stores on Factors that influence Brand dominance
Proprietary Scoring Matrix for Store Performance based on Business Plans
Identify Factors affecting store performance on a real-time basis
Compare Newly Launched store performance to Company benchmarks and identify areas of improvement to reduce the time taken to profitability

iforesee (Category foresight)
Identifying signals before they become a trend
Early view of emerging trends based on factors such as social media, searches and sales.
Insights on trends across various segments such as categories, materials, designs, colours, features, among others.
Competitor pricing and stocking insights
Position of a trend in its adoption curve

Sellthru
Optimizing your Revenue Potential using icogz Sellthru View
Market data layered intelligently onto your sales data
Product lines identified as laggards and stars using brand-specific customised machine learning algorithms
Timely interventions to aid in saving capital, cost, and inventory space
Automated Sellthru process for efficiency

Data-led assortment planning
Understanding gaps in your product assortment across multiple categories.
Insights on product assortment based on buying patterns, product demand elasticities, pricing bands, among other aspects
Best suited product lines for business growth across channels
Product expansion opportunities based on market comparisons

Location Intelligence
Unifying the Voice of the Customer (VOC) online and offline touchpoints
Category segmentation and sentiment analysis delivered through advanced machine learning algorithms
Insights on reviews received to understand problem areas and strengths both at national and store level
Impact of reviews on the customer funnel starting from footfalls to sales

Enabling business foresight
Data-led retail
insights
Customer behaviour
analysis
Product-centric
insights
Real-time
analytics
Unified view
of data