{descrb} - AI Adoption in the e-commerce
Automatic product description

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Want to know how AI can transform e-commerce? We found a problem that could be perfectly solved with our knowledge. That simple solution speeds up filling product description up to 80%.
Interested how we build it?

  • AI Adoption
  • Devops
  • Infrastructure Development
  • Figma
  • Python
  • Llama
  • GPT
  • Docker
  • +8
    AI Adoption
    Devops
    Infrastructure Development
    Figma
    Python
    Llama
    GPT
    Docker

about the project

{descrb} is an AI-powered platform that's changing how e-commerce businesses handle product descriptions and data.

The entire process speeds up a lot, thanks to image recognition, which can recognize from photos and create a perfect product description way faster than a normal copyrighted. Adopted artificial intelligence in this solution gave the entire e-commerce new the view of performing boring and repetitive operations.

the challenge

Speed up product descriptions operations from just a photo.

technologies

Html

Keras-ocr

Scss

Vue.js

Smarty

Gemini Vision AI

Meta - Llama

OpenAI

Docker

Postgresql

Fastapi

Google Lens

Python

Typescript

SqlAlchemy

Celery

RabbitMq

Results

The {descrb} from its earliest assumptions was intended to optimize ecommerce costs, reduce the need for time-consuming, manual copyrighting, and give stores, retail a tool that would allow them to respond quickly with the addition of product descriptions. Automation and optimization of product description creation, data management, and sales operations translates into real business benefits.

All this is within a single platform.

Faster Product Descriptions

Reduced time to create descriptions - by 96%, from 30 minutes to less than 1 minute per product.

Boost in Conversion

Increase conversion rate by 25% with better product descriptions and faster updates.

Secure Software Development

Increase website traffic by 10% as a result of better and more dynamic content.

Faster Product Descriptions

Reduced time to create descriptions - by 96%, from 30 minutes to less than 1 minute per product.

Benefits

  • 1

    synergy of NLP models

    The use of several language models that work together has made it possible to create even better and more precise product descriptions, which is a unique competitive advantage for the company.

  • 2

    quality assessment approach

    The implementation of the Confidence Index has allowed the company to better assess the relevance of the content generated, increasing confidence in the system.

  • 3

    AI model training

    With new product catalogs, the model tried to get better and better. devopsbay carried out retraining of the AI model so that the {descrb} solution became better and better.

  • 4

    user interface enhancement

    The redesigned dashboard and guidance in building onboarding has resulted in the percentage of users returning to descrb increasing by several percent.

  • 5

    data security

    With its own AI model on a local server, the company has gained better control over confidential information.

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