Powered by YOLO11 + TensorRT

Neural Shelf Intelligence

Detect, classify, and count every SKU on every shelf with enterprise-grade computer vision. Sub-second inference on proprietary YOLO11 models trained on millions of real-world retail images.

retail-ai-inference-v2.1
POST /api/v1/inference/
{
  "status": "completed",
  "processing_time_ms": 145,
  "result": {
    "detections_count": 47,
    "confidence_avg": 0.9432
  }
}
95.0%Detection Accuracy
< 300msAvg Inference Time
5M+Training Images

Engineered for Retail Scale

A complete computer vision stack designed for shelf audits, planogram compliance, and share-of-shelf analytics.

Proprietary YOLO11 Models

Custom-trained on millions of real-world shelf images for unparalleled accuracy in product detection and classification.

TensorRT Inference

GPU-accelerated workers deliver sub-200ms predictions with dynamic batching and result caching.

SKU & Category Mapping

Automatic mapping from class IDs to SKUs and hierarchical categories with quantity counting.

Developer-First API

RESTful API with granular API keys, webhooks, rate-limiting, and usage analytics built for scale.

Real-time Analytics

Track inference volume, confidence scores, credit usage, and processing times across your organization.

Enterprise Security

Multi-tenant organizations, role-based access, audit logging, and encrypted storage for every image.

Async Inference Pipeline

Queue-based, non-blocking, and fault-tolerant. Built on Celery + Redis with automatic retries and circuit breakers.

01

Upload Image

Send a shelf photo via URL or multipart upload. We validate MIME types, magic bytes, and plan limits instantly.

02

GPU Preprocess

Images are decoded, resized with letterboxing, and normalized on GPU workers to minimize CPU overhead.

03

TensorRT Inference

ONNX engines execute asynchronously on TensorRT with NMS and dynamic batching for maximum throughput.

04

JSON Results

Receive structured detections with bounding boxes, SKU codes, confidence scores, and hierarchical categories.

Built for Developers

Drop an image, get structured JSON. Integrate in minutes with our REST API, webhooks, and granular API key scopes.

curl -X POST api.retail-ai.shop/api/v1/inference/
# Create a job
curl -X POST https://api.retail-ai.shop/api/v1/inference/ \
  -H "X-API-Key: sa_live_..." \
  -F "image=@shelf.jpg" \
  -F "callback_url=https://myapp.com/webhook"
# Response
{
  "id": "550e8400-e29b-41d4-a716-446655440000",
  "status": "queued",
  "credits_used": 1,
  "estimated_wait_seconds": 2
}

Simple, Credit-Based Pricing

No hidden subscriptions. Pay for what you process. One credit = one image analyzed.

Free

Perfect for prototyping and small pilots.

$0 /one-time
50 credits credits
  • 512px at 1 credit
  • 1024px at 5 credits
  • 2048px not available
  • Standard model access
  • Community support

Starter

For growing teams with real audit workloads.

$343 /one-time
18,750 credits credits
  • 512px at 1 credit
  • 1024px at 5 credits
  • 2048px not available
  • 60 RPM / 5,000 RPD
  • Webhook support
Most Popular

Pro

High-throughput CPG and retail analytics.

$612 /one-time
37,500 credits credits
  • 512px at 1 credit
  • 1024px at 2 credits
  • 2048px at 5 credits
  • 300 RPM / 50,000 RPD
  • Priority GPU queue

Enterprise

Custom SLAs, multi-region, and white-glove onboarding.

$1,224 /one-time
75,000 credits credits
  • 512px at 1 credit
  • 1024px at 2 credits
  • 2048px at 2 credits
  • Multi-GPU allocation
  • SSO & SCIM
  • 24/7 phone support

Ready to automate your shelf audits?

Start with 50 free credits. No credit card required. Upgrade to a pay-as-you-go plan when you are ready to scale.