Omnichannel Cognitive Commerce

Fuse your physical and digital worlds to create a seamless, ‘boundaryless’ retail experience with our AI-powered omnichannel platform. By seamlessly connecting physical and digital touchpoints, deliver personalized recommendations, guided shopping, and targeted promotions — driving higher engagement, in-store spending, and cross-channel loyalty. Transform every store visit into a data-rich engagement, capturing the full customer journey from parking lot to checkout to build a unified, actionable profile that powers hyper-targeted marketing across all channels. Close the personalization gap with offline data, leveraging the 80% of spending that still happens in-store to enrich your online strategy and retarget customers with unparalleled precision, both in your aisles and on their devices.

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Most retailers struggle to leverage the full potential of omnichannel shopping. While ecommerce drives engagement, the majority of revenue still occurs in brick-and-mortar stores, where in-store behavioral, demographic, and psychographic data often goes untapped. Disconnected systems and siloed online data make it difficult to deliver a seamless, personalized experience across channels.

Solution Overview
One Platform. Every Channel. Zero Data Silos.

Solution Capabilities

Data Fusion Engine

Ingests first-party deterministic and probabilistic data from online behavior, anonymized demographics, psychographics, and contextual app data into a single unified backend.

360° Unified Customer Profile

Creates a unified customer view from fragmented online and offline data, enabling complex, multi-step marketing sequences across touchpoints.

Proximity-Triggered In-Store Retargeting

Delivers contextual, proximity-triggered reminders and promotions to customers while they are in-store, bridging the online-to-offline gap in real time.

No Beacon Hardware Required

Our proximity-based targeting is powered entirely by computer vision and AI — no expensive beacon hardware or infrastructure needed, yet delivering superior results.

Cross-Channel Personalized Recommendations

Retargets customers with precision across devices and channels — from in-aisle proximity targeting to post-visit digital ads with complementary product suggestions.

Offline-to-Online Data Enrichment

Leverages the 80% of spending that still happens in-store to enrich your online strategy, closing the personalization gap with rich physical-world behavioral data.

Closed-Loop Self-Optimizing Ecosystem

Transforms physical stores from data black holes into rich behavioral insight sources, feeding a self-optimizing loop that continuously improves engagement and profitability.

Integrated Backend Plugin

Data Fusion Engine

Our Omnichannel Cognitive Commerce platform connects physical stores and digital channels through an integrated backend plugin — representing a foundational shift from basic omnichannel fulfillment to a cognitive, data-unified retail operating system.

The platform is powered by a sophisticated data fusion engine that ingests first-party deterministic and probabilistic data from multiple sources — including online behavior on retailers’ e-commerce sites, anonymized demographic data and psychographics inferred through Passport, and contextual data captured through the Dealz! app. This allows retailers to retarget customers with precision across devices and channels.

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Data Fusion Engine
Architecture diagram showing multi-source data ingestion: e-commerce behavior, Passport demographics, Dealz! contextual data flowing into a unified backend

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From Parking Lot to Checkout — and Beyond
Full-width journey map: in-store entry → aisle behavioral capture → proximity targeting → checkout → post-visit digital retargeting, all powered by a unified data layer

Fragmented Data → Unified Intelligence

360° Unified Customer Profile

The system creates a unified 360° customer profile from fragmented online and offline data — breaking down the silos between what a customer does on your e-commerce site, in your store, and across digital channels.

This unified profile enables complex marketing sequences. For example, a customer who views an item online can receive a proximity-triggered reminder in-store and be retargeted online with complementary items afterward — a seamless journey orchestrated entirely by the platform with no manual intervention required.

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360° Unified Profile View
Dashboard showing a single customer’s merged online browsing, in-store visit behavior, demographics, and cross-channel interaction timeline

Physical & Digital Bridge

Proximity-Triggered In-Store Retargeting

Delivers contextual, proximity-triggered reminders and promotions to shoppers while they are physically in-store — bridging the online-to-offline gap in real time and re-engaging customers at the precise moment they are most receptive.

A shopper who browsed a product online yesterday can receive an in-aisle push notification via the Dealz! app as they walk past the relevant shelf today. Post-visit, that same shopper is retargeted online with complementary items — creating a closed-loop journey that converts online intent into in-store action and vice versa.

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Proximity Retargeting In Action
Illustration of a shopper receiving a contextual push notification in-aisle via the Dealz! app, linked to a prior online browse session

Computer Vision & AI

No Beacon Hardware Required

Our proximity-based targeting is powered entirely by computer vision and AI — leveraging the same in-store camera infrastructure already in place. There is no expensive beacon hardware to procure, install, maintain, or replace, and yet the results are superior to anything a beacon-based system can deliver.

Traditional proximity marketing systems rely on Bluetooth beacons — physical devices that must be purchased, installed at precise locations, paired with a management platform, regularly maintained, and replaced when batteries fail or hardware ages. This creates significant upfront capital cost, ongoing operational overhead, and coverage gaps wherever a beacon is missing or offline.

Our approach is fundamentally different. By processing live video through our computer vision and AI engine, the platform determines exactly where every shopper is in the store at any given moment — down to the aisle, shelf, and product zone — without a single piece of additional hardware. The store’s existing camera network becomes the proximity infrastructure.

Beyond eliminating hardware cost, the computer vision approach delivers richer contextual signals: it knows not just that a shopper is near a product, but how long they have been there, whether they picked it up, and what their engagement pattern looks like compared to other shoppers in the same zone. This behavioral depth is simply not available from a beacon ping, enabling more precise targeting, better timing of promotions, and ultimately stronger conversion rates.

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CV Proximity — Zero Hardware
Side-by-side comparison: traditional beacon installation vs. MindGlyph CV-powered proximity targeting using existing camera infrastructure, with zero additional hardware

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Precision Retargeting Across Every Channel
Multi-channel flow diagram: online browse → unified profile update → in-store proximity trigger → post-visit digital retargeting → cross-sell recommendation

Hyper-Targeted Marketing

Cross-Channel Personalized Recommendations

Retargets customers with precision across devices and channels — serving the right message in the right place at the right time, whether that is an in-aisle proximity notification, a post-visit email, or a social retargeting ad featuring complementary items.

By connecting online and offline behavioral signals through the unified customer profile, the platform enables retailers to retarget customers with unparalleled precision — both in their aisles and on their devices. Recommendations evolve in real time based on the most recent cross-channel interactions, ensuring that every message is contextually relevant and personalized to the individual shopper’s current journey stage.

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Cross-Channel Recommendation Feed
Side-by-side view of in-store proximity notification, post-visit email recommendation, and social retargeting ad — all driven by the same unified customer profile

Closing the Personalization Gap

Offline-to-Online Data Enrichment

Leverages the 80% of spending that still happens in-store to enrich your online strategy, closing the personalization gap that plagues most digital-first retailers who lack visibility into physical-world shopper behavior.

80%
of consumer spending still occurs in physical retail stores

360°
unified customer view from merged online and offline behavioral data

Anonymous demographic data and psychographics inferred through Passport are fused with online behavior to build customer segments and lookalike audiences that were previously impossible to construct from digital data alone. This makes your online marketing significantly more precise and cost-efficient, while simultaneously surfacing in-store behavioral patterns that inform smarter assortment and merchandising decisions.

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Offline → Online Data Flow
Diagram showing in-store behavioral data captured via Passport flowing into the unified profile and enriching online digital marketing audiences

Central Nervous System for Retail

Closed-Loop, Self-Optimizing Ecosystem

By serving as a central nervous system for retail, this platform transforms physical stores from data black holes into rich sources of behavioral insight — creating a closed-loop, self-optimizing ecosystem that continuously improves with every shopper interaction.

The ecosystem enhances shopper engagement, increases in-store spending, and drives loyalty — ultimately maximizing lifetime value and profitability in both digital and physical environments. Every interaction feeds back into the system, making the next recommendation smarter, the next promotion more targeted, and the next in-store experience more relevant. Retailers gain a compounding strategic advantage that grows more powerful over time.

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Self-Optimizing Retail Ecosystem
Circular feedback loop diagram: shopper interaction → data capture → insight generation → smarter recommendation → improved engagement → repeat

Omnichannel Cognitive Commerce

Solution Capabilities

Data Fusion Engine

360° Unified Customer Profile

Proximity-Triggered In-Store Retargeting

No Beacon Hardware Required

Cross-Channel Personalized Recommendations

Offline-to-Online Data Enrichment

Closed-Loop Self-Optimizing Ecosystem

Data Fusion Engine

360° Unified Customer Profile

Proximity-Triggered In-Store Retargeting

No Beacon Hardware Required

Cross-Channel Personalized Recommendations

Offline-to-Online Data Enrichment

Closed-Loop, Self-Optimizing Ecosystem

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