infoARC.AI

Optimize retail execution and e-commerce performance with AI-powered image recognition and analytics to drive sales lifts for retailers and manufacturers.

Paid retail analytics

Paid only

Price not published

About infoARC.AI

infoARC.AI is an advanced analytics platform designed for the consumer goods industry, focusing on optimizing retail performance across both physical and digital channels. By leveraging machine learning and real-time image recognition, the tool provides manufacturers and retailers with a comprehensive view of their market reality. The platform's primary goal is to bridge the gap between raw data and commercial action, helping businesses measure, analyze, and improve their key business drivers to capture untapped sales opportunities in an increasingly complex omnichannel environment. The suite operates through three core products: rPulse, ePulse, and Omni Pulse. rPulse utilizes sophisticated image recognition to monitor physical store shelves, providing metrics like shelf share, display share, and pricing accuracy within minutes. It translates this data into specific store-level actions for sales representatives to ensure perfect execution on the ground. Meanwhile, ePulse focuses on the digital shelf, tracking content quality, search rankings, and stock levels across various e-commerce platforms to prevent lost sales due to invisibility or lack of inventory. This solution is specifically tailored for retail managers, manufacturers, and consumer goods executives who need to maintain competitive advantages in a fast-paced market. It is particularly effective for teams using platforms like Salesforce or SAP, as the microservice-based architecture allows for smooth integration with existing enterprise workflows. By automating the auditing process and providing real-time visibility into stock-outs or planogram compliance, infoARC.AI allows personnel to focus on high-value strategic tasks rather than manual data collection and analysis. What distinguishes infoARC.AI is its dual focus on physical retail reality and digital presence, with evidence of delivering measurable sales lifts of up to 6% for physical retail and 5% for omnichannel operations. Unlike standard analytics tools that merely report data, this platform emphasizes an insights-to-action journey through an intuitive user interface. Its ability to provide real-time, highly accurate image recognition combined with direct integration into leading retail execution platforms makes it a robust choice for enterprise-level retail optimization.

infoARC.AI pros & cons

Pros

Provides real-time image recognition for instant visibility into physical shelf conditions.
Claims to deliver measurable sales lifts of up to 6% through improved retail execution.
Integrates with major enterprise platforms including Salesforce and SAP.
Tracks brand performance across both pure-play e-commerce and brick-and-click retailers.
Identifies and assists in fixing digital and physical stock-outs instantly.

Cons

Pricing and plan structures are not publicly listed and require a demo request.
The platform may require significant setup time for initial planogram and product library training.
No information is provided regarding specific language support for reviews and ratings tracking.
Requires consistent high-quality image inputs from store personnel for maximum accuracy.

infoARC.AI use cases

Sales representatives can use rPulse's store-level action guides to identify and fix shelf execution issues in real-time during store visits.
E-commerce managers can utilize ePulse to monitor search rankings and content quality across multiple online retailers from a single dashboard.
Retail executives can leverage Omni Pulse to gain a unified view of brand performance across all physical and digital sales channels simultaneously.
Manufacturers can use image recognition data to audit shelf share and display compliance without relying on manual reporting methods.

infoARC.AI features

microservice architecture
stock-out detection
omnichannel analytics dashboard
salesforce and sap integration
store-level action guides
ecommerce fundamentals tracking
shelf kpi monitoring
real-time image recognition

infoARC.AI pricing

Is infoARC.AI free? No, infoARC.AI doesn't offer a free plan.

Custom

Price varies

Real-time retail image recognition
eCommerce analytics suite
Shelf KPI tracking (share, display, price)
Store-level action guides
Salesforce and SAP integration
Digital content quality tracking
Stock-out monitoring and alerts
Omnichannel performance dashboard
Microservice-based architecture
Custom planogram implementation

infoARC.AI FAQs

What metrics does rPulse track for physical retail?

rPulse provides instant visibility into shelf share, display share, product availability, and pricing within minutes of image capture. It uses real-time image recognition to help retailers reduce stock-outs and ensure custom planograms are implemented correctly in every store.

Can infoARC.AI integrate with existing CRM or ERP systems?

Yes, the platform features a microservice-based architecture designed for seamless integration across different platforms. It specifically supports leading retail execution platforms, including Salesforce and SAP, to streamline data flow.

How does ePulse help with e-commerce management?

ePulse tracks essential e-commerce fundamentals such as content quality, search rankings, ratings, and reviews. It helps businesses identify digital stock-outs instantly and stay competitive on pricing and promotions across various online retailers.

What is the benefit of using the Omni Pulse module?

Omni Pulse combines the features of rPulse and ePulse into a single interface for managing both physical and digital retail. This unified approach provides a holistic view of brand performance and is designed to drive up to a 5% lift in omnichannel sales.

Ratings & reviews

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