AI for Retail & Service: Improve Efficiency And Elevate Quality

Achieve immediate, organization-wide results

Accelerate AI deployment and solve complex challenges across the value chain.

Analyze Product Displays

Monitor shelves and displays for stockouts, misplaced items, and planogram compliance. Ensure optimal product availability and streamline replenishment.

Understand Customer Flow

Track customer movement patterns, dwell times, and overall traffic flow. Detect overcrowding and optimize layouts for efficiency and safety.

Monitor Queues & Turnover

Accurately detect and measure queue lengths in real-time. Reduce customer wait times, improve table turnover, and enhance service efficiency.

Improve Physical Security

Get real-time insights into overcrowding and trigger alerts when occupancy levels exceed thresholds. Identify and deter theft, fraud, and unauthorized entry.

Ensure Safety & Compliance

Detect product defects, monitor hygiene standards, identify hazards like spills, and verify operational compliance. Reduce incidents and enhance brand trust.

Optimize Warehouse Logistics

Streamline inbound and outbound processes by automatically tracking and verifying backroom inventory. Ensure accurate stock levels and optimize storage utilization.

Automate processes, start to finish

Drive innovation and improve efficiency, from receiving goods to serving customers.

Inbound Logistics

Verify shipment accuracy

Automate receiving process

Optimize storage space

Inventory & Shelving

Monitor display accuracy

Detect empty shelves

Automate replenishment alerts

Customer Flow

Map customer paths

Identify crowded zones

Optimize store layouts

Queue & Service Time

Track line length

Estimate wait times

Improve service speed

Service Centers

Track staff efficiency

Monitor station usage

Optimize wait times

Loss Prevention

Detect unattended goods

Identify suspicious acts

Protect high-value goods

Asset Health

Monitor equipment wear

Predict system failures

Reduce downtime costs

Safety Checks

Detect slip hazards

Verify hygiene rules

Ensure exits are clear

CASE STUDY

Real-time operational insights elevate customer experience

A leading hospitality group sought to ensure a consistent, premium customer experience and boost service capacity across a high-end restaurant chain. Manual monitoring of high-volume operations led to inconsistencies and missed opportunities, hindering their goal of increasing daily covers.

The group deployed specialized vision AI systems powered by Roboflow across sites. This real-time monitoring system provides critical insights into queue lines, table states, and customer wait times.

The new system significantly improved data capture and visibility, leading to more attentive waitstaff, fewer idle tables, shorter queue lines, and faster table turnover. The group can now better identify and address operational inefficiencies, consistently upholding their high hospitality standards.

See all customer stories

Deploy AI wherever you need

Run on the platform of your choice – from air-gapped servers to cloud-connected cameras in your facility.

At the edge

Use our pre-built devices or bring your own. Ideal for vehicles or facilities without internet connectivity.

In the cloud

Leverage your existing cloud infrastructure or easily deploy with our hosted API.

Python

cURL

Javascript

Swift

.Net


from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://detect.roboflow.com",
    api_key="****"
)

result = CLIENT.infer(your_image.jpg, model_id="license-plate-recognition-rxg4e/4")

ARM CPU

x86 CPU

Luxonis OAK

NVIDIA GPU

NVIDIA TRT

NVIDIA Jetson

Raspberry Pi

Managed Deployment

Models directly on Roboflow's infrastructure through an infinitely-scalable API

Load balancing and auto-scaling to provide stability during bursts of usage.

Deploy at scale with bulk discounts and dedicated GPU clusters.

Switch to new model versions and architectures without adjusting your inference code.

Strict security and privacy standards, SOC 2 Type II, PCI, and HIPAA compliance.

Self-Hosted Deployment

Roboflow Inference: An open source and scalable way to run models on-device, with or without an internet connection.

Run inference on-device without the headache of environment management, dependencies, managing CUDA versions, and more.

HTTP interfaces for foundation models, like CLIP and SAM, which you can use directly in your application or as part of multi-stage inference processes.

Complex inference features including autobatching inference, multi-model containers, multithreading, and DMZ deployments.

UDP inference to keep latency as low as possible.

Workflows

Simplify Building and Deploying Vision AI Applications

Integrated workflow builder and deployment ensures what you configure runs in production.

Try Workflows

Combine custom models, open source models, LLM APIs, pre-built logic, and external applications

ARM CPU

x86 CPU

Luxonis OAK

NVIDIA GPU

NVIDIA TRT

NVIDIA Jetson

Raspberry Pi

ARM CPU

x86 CPU

Luxonis OAK

NVIDIA GPU

NVIDIA TRT

NVIDIA Jetson

Raspberry Pi

Python


result = client.run_workflow(
    workspace_name="suvjg",
    workflow_id="abc",
    images={
        "image": "YOUR_IMAGE.jpg"
    }
)

Deploy using a fully managed infrastructure with an API endpoint or on-device, internet connection optional

Enterprise-ready management

Streamlined deployment for large-scale computer vision environments.

Manage hundreds of devices

Monitor the status of all streams and devices in one console, track inference volume, modify settings, and push updates remotely.

Granular access controls

Single Sign-On (SSO) integration streamlines user authentication, while role-based access control provides granular permissions settings for admins.

Secure & compliant infrastructure

Data is protected by enterprise-grade security features, such as encryption at rest and transit, SOC 2 Type 2 compliance, and HIPAA-ready infrastructure.