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AI-native systems built for real-world integration and continuous operation.
An AI-native commerce platform that transforms static e-commerce stores into adaptive shopping environments.
MerchantIQ understands shopper context and intent in real time. Instead of forcing users through fixed category hierarchies, it adapts the shopping experience dynamically based on behavior, preferences, and current browsing patterns.
The platform integrates directly into existing e-commerce infrastructure and operates continuously, learning from shopper interactions to improve product discovery and reduce friction in the purchasing process.
What MerchantIQ Does
Context-Aware Product Discovery
MerchantIQ analyzes shopper behavior and intent to surface relevant products without requiring manual search or category navigation. It understands context from browsing patterns, previous interactions, and current session signals.
Adaptive Shopping Experiences
The platform adjusts the interface and product presentation dynamically based on shopper needs. High-intent shoppers see streamlined paths to purchase, while exploratory shoppers receive guided discovery experiences.
Guided Purchasing Flow
MerchantIQ reduces decision paralysis by presenting products in context. It understands relationships between items, compatibility requirements, and purchasing patterns to guide shoppers toward informed decisions.
Persistent Shopper Memory
The system maintains context across sessions, remembering preferences, previously viewed products, and shopping intent. Shoppers can return without repeating searches or starting over.
SwitchIt™: Adaptive Shopping Mode
SwitchIt™ is the core module within MerchantIQ that enables adaptive, intent-driven shopping experiences.
When activated, SwitchIt™ overlays the existing store interface and transforms it based on shopper behavior. It detects intent signals—whether someone is browsing casually, comparing specific products, or ready to purchase—and adjusts the experience accordingly.
SwitchIt™ operates in real time, analyzing each interaction to refine product presentation, navigation options, and discovery paths. It maintains full context across the session and integrates seamlessly with the underlying e-commerce platform.
How It Works
Real-Time Intent Detection
MerchantIQ processes shopper behavior signals in real time, detecting patterns that indicate purchase intent, exploration mode, or comparison shopping. Response times are measured in milliseconds.
Persistent Context Layer
The platform maintains context across sessions and devices. Shopper preferences, viewed products, and intent signals persist, enabling continuity without forcing account creation.
Seamless Integration
MerchantIQ integrates with existing e-commerce platforms through standard APIs. It operates as an overlay, requiring no platform migration or infrastructure replacement.
Continuous Learning
The system improves through operation, learning from successful interactions, failed searches, and completed purchases to refine future recommendations and interface adaptations.
Status
MerchantIQ is live and operating in production environments. The platform processes real shopper interactions and delivers adaptive commerce experiences at scale.