AI leveraged automation is redefining retail experiences, making it more convenient to shop and manage stores for customers and retailers respectively. We work with both brick and mortar chains and e-retailers to help them develop AI-powered solutions with our structured data annotation services. Our experts also help online retail sites to moderate content, be it detection of possible offensive and unwanted images or filter profanity and unwanted text.

Text Tagging

Our experts meticulously annotate and classify the terms into their relevant groups and turn vast volumes of data into accurately tagged insights.

(Data Enrichment)

Aismartz’s team of content moderators deduplicate and cleanse redundant ecommerce listings to enhance customer searches and overall shopping experiences.

Data Matching
(Data Enrichment)

Our teams ensure users get the same product view in real time, despite the same SKUs appearing multiple times on your eCommerce site or other aggregator portals, thus ensuring zero ambiguity and pricing discrepancies.

Content Moderation
(Data Enrichment)

With 2.5 quintillion bytes of data being created online on a daily basis, content moderation is something that should utilize people and algorithms both as per the business size and requirements. At AIsmartz, our content teams generally help ecommerce stores by checking and taking action on their content to ensure appropriateness, business safe tagging, and applicability of business rules where sarcasm goes undetected by algorithms.

Data Annotation Workflow

Instructions Set

You share your sample data with business rules.

Task Analysis

Our annotation experts share their opinion on workforce hours and tools required for the job

Data Labelling with Checks

Once signed up, our teams work in close contact with you for initial 8 weeks to understand edge cases

Production Grade Annotation

QA Managers monitor throughput closely with gold standards, consensus and sampling

Exported Training Data Feedback

Finished training data run by you for feedback and info on model iterations


Choosing the right Data Annotation Tool

Since the performance of your ML model is as good as the data that trains it, understanding the tools used for annotating this data becomes especially important. These tools determine the quality of the data and can have implications on the success or failure of your model. … read more

Key Factors to find synergy with Labeling Partner

When we think about AI and Machine Learning, we naturally tend to think of self-driving cars, delivery drones, robot-assisted precision surgeries, and all the technological innovations that have been doing the rounds lately.… read more

Our Client's Speak

Use Cases

Finance and Insurance Tech

We partner with asset management, legal, finance and insurance firms to assist them to embark on their journey of robotic automation of gathering quick insights on lengthy legal, structural and financial data. … read more

Customer Service Automation

With the advent of new generation AI enabled chatbots and virtual assistants, efficient and warm handling of basic queries, assistance replies to product/service oriented feedback is just the tip of the iceberg… read more


Be it e-auction sites, public tenders, taxation, documentary record repositories, or nature, animal, people & demographics information, database management and enrichment is an essential facet of building data authenticity and enhancing user experience... read more

Let's Connect To Get Started

Planning a machine learning project? AISmartz can help.