“Shopper Direct” platform, an all-in-one loyalty, digital circular, and in-store engagement tool designed to help independent grocers compete against national chains.
The platform aims to level the playing field by providing local-scale tools that integrate with existing point-of-sale (POS) systems, avoiding the need for a complete rip-out and replacement.
The modern shopper’s journey is broken down into three stages:
attracting traffic, influencing the basket, and retention. Attracting Traffic (Outreach) Mobile Engagement: Shopper Direct replaces expensive print circulars with mobile engagement like SMS and push notifications. SMS: Text messages have a near-perfect visibility, with reported open rates consistently at 99%.
Metrics show click-through rates of 35% and an ROI that can exceed 25x. The cost is significantly lower than printed ads due to the near-zero marginal cost of a personalized text message.
WhatsApp: The platform also integrates WhatsApp broadcast and the WhatsApp Business API, allowing retailers to send rich media (images, videos, documents) to diverse, multinational communities in over 180 countries.
Visual Appeal: LED window displays replace static poster boards with bright, Full HD 4K displays engineered to compete with sunlight. The content can be scheduled to change in real-time, allowing for dynamic promotions (e.g., rotisserie chicken sale between 4:00 p.m. and 7:00 p.m. during dinner rush). This capability is crucial for managing perishables and reducing waste, or “shrink”.
Influencing the Basket (In-Store) Shopper Radio: This tool uses strategically scheduled audio messages within curated music playlists to promote events, encourage loyalty sign-ups, or highlight daily specials. Tailoring the music can lead to a 9.1% sales increase, and when combined with targeted audio messages, retailers report seeing up to a 40% boost in impulse purchases, especially near the checkout.
Digital Signage: Screens deployed at end caps, service counters, and on large walls replace printed material with vibrant, real-time content like weekly ads, price drops, and new products. The “adjustable brightness technology” automatically adjusts to ambient light, such as harsh fluorescent lights or sunlight, to ensure optimal image quality. All content is managed through a central Content Management System (CMS).
Self-Order Kiosk (SDFK): The kiosk is designed to solve two problems: Convenience: It allows for quick, queue-free ordering of prepared foods, deli items, hot food, and special event orders, accepting multiple payment types including EBT.
Marketing: When inactive, it displays promo videos. During ordering, it uses intelligent prompts to suggest add-ons, like a drink with a sandwich, which actively boosts the average basket size. It also serves as another point for loyalty program sign-up. Retention and Analytics (Closing the Loop) Loyalty
Program: Enrollment is simple and can be done at the register or kiosk with just a name, phone number, and email. Members earn one point for every dollar spent, and the platform delivers instant value, such as a $5 discount upon reaching 500 points. The system interfaces with older legacy POS systems via APIs, acting as an intelligent layer that sits on top of the cash register to manage the customer engagement layer while feeding data back and forth seamlessly. Members immediately receive a welcome text with a scannable barcode and a link to download their digital wallet to their phone (no plastic card or app download required).
Specialized Fund Integration: The platform also integrates with specialized funds, such as Healthy Benefits Plus and over-the-counter (OTC) funds. The Shopper Direct API handles real-time balance checks and automatically applies eligible OTC coupons, which reduces cashier errors and requires no special hardware.
Business Intelligence (Analytical Partner): The platform uses collected data from texts, kiosks, and loyalty purchases to become the retailer’s analytical partner.
This intelligence is broken down into three areas:
In-Store Performance (Operational Side): It tracks key metrics (profit margin, shrink reduction, average basket value) and uses “critical alerts” to provide real-time, actionable intelligence. Alerts are sent for sudden steep drops in sales (potential supply/pricing error) or sales peaks (immediate restock), managing inventory based on real-time purchase velocity.
Intelligent Customer Profile: Machine learning segmentation is used to identify actionable groups, going beyond simple demographics. Profiles are built on customer lifetime value (LTV), recurrence and frequency, and transactional behavior by product attribute (e.g., organic, plant-based, store brands vs. premium goods).
Upsell and Assortment Analytical Engine: The engine uses these profiles to drive revenue. For example, a customer who buys prepared sandwiches might receive a personalized SMS coupon at 11:30 a.m. for “chips 50% off with your deli order”. This process maximizes average basket value through “basket analysis.” If data shows 70% of people who buy tomato paste also buy fresh basil, the loyalty app or kiosk will prompt the next shopper to add basil. This also builds “taste understanding” to inform everything from coupon campaigns to shelf placement.
The platform offers a complete, accessible digital transformation for independent retailers of any size, allowing them to truly understand what shoppers want and compete effectively.
