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Retail & E-commerce

Revolutionising the retail industry using AI

Image of computer vision in Retail and E-Commerce use-cases built on Datature Nexus.

Retail & E-commerce

The state of retail is changing - from product recommendation systems to visual search and virtual try-ons. Datature's end-to-end pipeline enables Retailers and Store Owners to develop cutting edge computer vision applications to provide in-depth retail analytics and automation to drive down costs while increasing revenue.

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Shelf Analytics

Use computer vision to digitise store checks and improving on-shelf availability for items with AI by detecting objects within images of shelves and classifies them.

Warehouse Automation

Lower the workload of repetitive and labor-intensive tasks; i.e. picking and sorting goods in warehouses. Vision systems using machine learning algorithms enable robotic arms to identify, classify and sort products, improving overall efficiency levels.

Image of Product Suggestions or Recommendations in Retail and E-Commerce solutions, built by Datature Nexus computer vision MLOps platform.

Product Suggestions

Utilize machine learning techniques, and implementing a product recommendation system by creating a series of complex connections between products and consumers.

Visual Product Search

Implement computer vision, AI and visual search
to improve search results, personalise product recommendations, and improve product discoverability to drive revenue.

Automated Checkout

Reshape the shopping experience in retail with Artificial - scanning multiple packaged products in a few seconds, identifying items using a weighted countertop system and streamlining purchasing processes.

Inventory Management

Eliminate time-consuming and tedious inventory tasks by analysing consumer demands, shopping behaviours and supplier orders.

Use Cases

Use-cases in Smart Cities to inspire your next build

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Use Case details

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Build Your AI Vision Applications for Free

Develop your go-to-market product with our no-code MLOps platform that simplifies how computer vision models are built.

Up to 500 images with model-assisted annotations
Up to 300 minutes of GPU training
Slack and email support from our engineers and product managers