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Data Annotation for Retail

Power product search, shelf analytics, and store intelligence with accurately labeled images, video, and text. Smart Annotahub adapts taxonomies to your catalog and store formats.

AI Use Cases We Support in Retail

01

Product Recognition

SKU-level detection and classification for checkout-free and self-checkout systems.

02

Shelf Monitoring

Out-of-stock, planogram compliance, and price-tag detection from store cameras.

03

Catalog Attributes

Color, material, style, and category tagging for search and recommendations.

04

Customer Analytics

Foot traffic, dwell time, and queue length from in-store video.

05

Review and Sentiment

Aspect-based sentiment on product reviews and support conversations.

06

Visual Search

Similarity and matching labels for shop-the-look experiences.

Annotation Services for Retail

The data types retail teams send us most often. Every service starts with a free pilot.

How We Deliver Your Project

From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.

  1. Step 01

    NDA and Discovery

    We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for your dataset.

  2. Step 02

    Free Pilot

    We annotate a sample of your data at no cost, so you can judge quality, speed, and edge-case handling first-hand.

  3. Step 03

    Proposal and Agreement

    Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.

  4. Step 04

    Team Setup and Training

    We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.

  5. Step 05

    Production Labeling

    Our team runs annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.

  6. Step 06

    QA and Delivery

    Your labeled data pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.

Why AI Teams Choose Smart Annotahub

Handle Complex Datasets

Get consistent annotation for detailed taxonomies, edge cases, and challenging data.

Build Quality Into Every Step

We combine onboarding, clear and evolving guidelines, quality assurance, and continuous feedback.

Flexible and Scale On Your Terms

Adjust team capacity, project size, and delivery model as your needs change, with no setup fees or long-term lock-ins.

Integrate From Day One

Align on goals, workflows, and expectations with a team that fits into your process.

Work with Annotation Experts

Our team includes former annotators who understand annotation complexity, quality standards, and high-volume delivery.

Reviews

From our Clients

★★★★★

“Their flexibility and ability to move fast impress us.”

We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.

Tatsuya Ishihara
Project Manager
★★★★★

“They’re always willing to adapt quickly to our needs and help keep the project on track.”

The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.

Park Ji-Ho
Director
★★★★★

“Communication with the team is smooth, clear, and effortless.”

We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.

Matthew Milner
Director of Engineering

Start with a free pilot

Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.



    Retail FAQs

    Can you work with our product taxonomy?

    Yes. We map labels to your existing catalog hierarchy and flag ambiguous products for review instead of guessing.

    How do you handle thousands of SKUs?

    Annotators work from reference galleries and a searchable SKU list, and reviewers audit fine-grained classes separately.

    Do you label in-store video?

    Yes, including tracking shoppers and interactions with privacy rules such as face blurring when required.

    How fast can a retail project start?

    Most pilots start within a few days of receiving sample images and your category list.