AI Retail Perfect Store Solution

AI Retail Perfect Store Solution

AI-powered in-store analytics uses computer vision to spot empty shelves, wrong prices, and planogram slips the moment they happen. The live dashboard for consumer packaged goods (CPG) brands and retailers helps fix issues, keep shelves compliant, and boost sales across every store.

AI-powered in-store analytics uses computer vision to spot empty shelves, wrong prices, and planogram slips the moment they happen. The live dashboard for consumer packaged goods (CPG) brands and retailers helps fix issues, keep shelves compliant, and boost sales across every store.

Partner solution Public cloud

AI Shelf Vision: Instant Fixes for Better Sales

AI Shelf Vision: Instant Fixes for Better Sales

Better Shelves, Bigger Sales: Data in Action

Better Shelves, Bigger Sales: Data in Action

95% shelf clarity

AI-powered computer vision gives near-perfect shelf visibility, flags missing items and refill needs instantly, and reduces audit time by 70%.

Auto price & planogram patrol

AI spots pricing slips and layout breaks with 90% precision, ends manual checks, cuts audit costs by 40%, and keeps every shelf on-brand and on-margin.

Smart insights for field teams

Smart dashboards give advance notice of the exact shelf problem, cutting fix time by 60% and turning hours saved into higher sales.

One-click ERP, CRM & BI sync

Connection to any ERP, CRM, or BI takes half the time, unites every metric in one secure dashboard, and lowers IT spend while keeping data live and accurate across the enterprise.

AI Slashes Shelf Work by 70%, Hits 95% Accuracy

AI Slashes Shelf Work by 70%, Hits 95% Accuracy

Scenario

Real-Time Shelf Management

Auto Shelf Checks, Enhanced Compliance

AI-Driven Retail Visibility and Efficiency

Computer Vision for Shelf Availability and Execution Efficiency

Challenges
  1. Manual audits miss gaps and take days, leaving shelves empty and sales lost.
  2. Disconnected systems block a clear view of each shelf, hindering consistent execution across stores.
  1. Manual checks limit daily visits and delay fixes.
  2. Inconsistent data and human errors misalign planograms and pricing.
  1. Retail teams lack clear shelf visibility, so rely on outdated reports and intuition.
  2. Manual processes increase costs, create data inconsistencies, and reduce productivity and real-time management.
  1. Running hundreds of stores makes it hard to stay consistent with inventory and promotions.
  2. Manual shelf check wastes time and money, and slows down issue resolution.
Solutions
  1. AI-powered computer vision scans shelves 24/7 and flags gaps before sales walk.
  2. Long audits are now 95% accurate auto-reports with execution uniform across stores.
  1. AI scans shelves in seconds, flags planogram, price and product errors, and cuts audit time by 70%.
  2. Live alerts and dashboard guide field teams to fix issues on the spot so every store stays compliant.
  1. Use AI algorithms to analyze shelf data and sales trends to offer actionable insights, improving store execution and resource allocation.
  2. Automate data collection to reduce operational costs by up to 40%, improve data accuracy, and speed up decision-making.
  1. Automate shelf checking through computer vision, detecting missing SKUs, incorrect placements, and low stock levels in real time.
  2. Connect to ERP, CRM, and BI systems to sync store analytics, speed up responses, optimize inventory, and cut errors by 60%.
Benefits
  1. 95% shelf visibility and near-zero stockouts
  2. Higher sales and shopper satisfaction
  1. 70% faster audits and extra time for strategic work
  2. 90% pricing and planogram compliance and consistent store presentation
  1. 40% cost reduction
  2. Improved decision-making with real-time data for better sales forecasting and store efficiency
  1. 60% faster issue detection and resolution, improved productivity, fewer errors
  2. Unified, data-driven view of store operation, better decision-making, enhanced performance

Real-Time Shelf Management

Challenges
  1. Manual audits miss gaps and take days, leaving shelves empty and sales lost.
  2. Disconnected systems block a clear view of each shelf, hindering consistent execution across stores.
Solutions
  1. AI-powered computer vision scans shelves 24/7 and flags gaps before sales walk.
  2. Long audits are now 95% accurate auto-reports with execution uniform across stores.
Benefits
  1. 95% shelf visibility and near-zero stockouts
  2. Higher sales and shopper satisfaction

Auto Shelf Checks, Enhanced Compliance

Challenges
  1. Manual checks limit daily visits and delay fixes.
  2. Inconsistent data and human errors misalign planograms and pricing.
Solutions
  1. AI scans shelves in seconds, flags planogram, price and product errors, and cuts audit time by 70%.
  2. Live alerts and dashboard guide field teams to fix issues on the spot so every store stays compliant.
Benefits
  1. 70% faster audits and extra time for strategic work
  2. 90% pricing and planogram compliance and consistent store presentation

AI-Driven Retail Visibility and Efficiency

Challenges
  1. Retail teams lack clear shelf visibility, so rely on outdated reports and intuition.
  2. Manual processes increase costs, create data inconsistencies, and reduce productivity and real-time management.
Solutions
  1. Use AI algorithms to analyze shelf data and sales trends to offer actionable insights, improving store execution and resource allocation.
  2. Automate data collection to reduce operational costs by up to 40%, improve data accuracy, and speed up decision-making.
Benefits
  1. 40% cost reduction
  2. Improved decision-making with real-time data for better sales forecasting and store efficiency

Computer Vision for Shelf Availability and Execution Efficiency

Challenges
  1. Running hundreds of stores makes it hard to stay consistent with inventory and promotions.
  2. Manual shelf check wastes time and money, and slows down issue resolution.
Solutions
  1. Automate shelf checking through computer vision, detecting missing SKUs, incorrect placements, and low stock levels in real time.
  2. Connect to ERP, CRM, and BI systems to sync store analytics, speed up responses, optimize inventory, and cut errors by 60%.
Benefits
  1. 60% faster issue detection and resolution, improved productivity, fewer errors
  2. Unified, data-driven view of store operation, better decision-making, enhanced performance

How the AI In-Store Analytics Service Works

How the AI In-Store Analytics Service Works

Data Capture & Ingestion

Collects shelf and store images from IP cameras and mobile devices.

Supports real-time and batch data ingestion through cloud or on-premise networks.

Integrates video streams and snapshots into a unified data pipeline.

Ensures secure transmission with encryption and access control.

AI Processing & Computer Vision

Utilizes deep learning models to detect products, shelves, and pricing labels.

Analyzes planogram compliance, out-of-stocks, and share of shelf automatically.

Provides over 95% detection accuracy using continuously trained algorithms.

Processes high volumes of images with GPU-accelerated inference.

Analytics & Insights

Transforms raw visual data into actionable KPIs and performance dashboards.

Correlates shelf insights with sales and inventory data for end-to-end visibility.

Delivers real-time alerts on anomalies like price mismatches or missing items.

Enables trend analysis for regional and store-level comparisons.

Integration & Management

Connects seamlessly with ERP, CRM, and BI systems for unified workflows.

Provides API-based integration for third-party applications and analytics tools.

Supports role-based access and multi-level user management.

Offers centralized configuration, monitoring, and performance reporting.

Success Stories

Success Stories

AI & Computer Vision Power Smart Retail and Enterprise

AI & Computer Vision Power Smart Retail and Enterprise

Artificial Dynamics

Artificial Dynamics specializes in AI-powered video analytics and computer vision solutions that transform physical spaces into intelligent, data-driven environments, enhancing operational efficiency, customer experience, and safety through real-time insights and Huawei Cloud integration.

  • Artificial Dynamics

    Artificial Dynamics specializes in AI-powered video analytics and computer vision solutions that transform physical spaces into intelligent, data-driven environments, enhancing operational efficiency, customer experience, and safety through real-time insights and Huawei Cloud integration.

Consultations

Consultations

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