Data Insights That Drive Growth

Stop guessing and start knowing. Access real-time reporting on shopper behavior, coupon redemptions, and traffic trends. We give independent retailers the powerful analytics and customer segmentation tools that big chains use to maximize revenue.

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Business Intelligence for Grocery Retail

The Business Intelligence (BI) is the key to transforming your supermarket’s sales data into strategic decisions. Shopper Direct helps you move from simply counting sales to understanding your customers and maximizing your profit margins.

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The Three Fundamental Pillars of Optimization in Grocery Retail

Shopper Direct is built upon three pillars designed to instill an analytical culture and ensure comprehensive growth for your supermarket chain:

Pillar 1: In-Store Performance Goal Fulfillment

This pillar ensures your business goals (profit margin, shrink reduction, average basket value) are continuously monitored and met through data-driven tracking:

The Power of Data to Maximize Your Revenue

The Shopper Direct platform is the ideal solution to optimize your sales in the grocery retail sector.

We harness the power of transactional data (purchase receipts) to boost sales, reduce waste, and enhance the shopper experience. Our platform fundamentally improves performance by identifying your aisle purchase patterns and the real interests of your customers.

The Three Fundamental Pillars of Optimization in Grocery Retail

Shopper Direct is built upon three pillars designed to instill an analytical culture and ensure comprehensive growth for your supermarket chain:

Comprehensive Analysis

Provides a Global Analysis (entire chain) and Disaggregated Analysis (by branch, category, or even time of day).

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Progress Tracking

Offers multiple checkpoints to measure progress in Key Categories (fresh produce, dairy, bakery) and the impact of promotions.

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Critical Alerts

Tracks and identifies significant variations such as:

Pillar 2: Intelligent Customer Profile

Go beyond basic demographics. Shopper Direct allows you to know your customers better than ever by understanding what they put in their cart:

Machine Learning Segmentation

Customers are micro-segmented with machine learning, identifying groups like “Weekend Family Shoppers” or “Gourmet Product Customers.”

Actionable Criteria

Segmentation is based on crucial factors specific to supermarkets:

Customer Lifetime Value (LTV): How much does the customer spend throughout their lifespan with the store

Recurrence/Frequency: Do they visit the store once a week or once a month?

Transactional Behavior by Product Attribute: Do they always buy the store brand, organic products, or sale items?

Targeted Outreach

Use these deep insights to generate highly effective retention or upselling campaigns (e.g., “Offer the new cream brand to those who buy coffee”).

Pillar 3: Upsell & Assortment Analytical Engine

The Upsell Engine is the analytical core designed to maximize the average basket value and improve the shopping experience, both in-store and online:

Personalized Recommendations

Generates personalized product suggestions tailored to customer micro-segments.

Taste Understanding (The "Why"):

Utilizes product attributes to understand tastes (e.g., if they buy almond milk and vegan cheese, they have an affinity for plant-based products).

Similar Customer Behavior (Basket Analysis)

Recommendations are formulated by analyzing the “Typical Purchase Basket” (e.g., those who buy tomato paste often grab fresh basil) to optimize store layout or suggest “forgotten items.”

Seamless Integration

Integrates recommendations directly into key touchpoints: loyalty apps, digital coupons, e-commerce, or even in-store kiosks.

Discover Shopper Direct and start pushing the analytical culture in your supermarket today!

Learn how to Improve your Shopper Engagement

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