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FN-AD

AI solution that helps fashion brands to expand globally

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FN-AD

The team was organized in their approach to project management. I was most satisfied by their advanced understanding and experience in AI technology and understanding of current trends and capabilities.

Jan, Executive & CEO – FN-AD

Industry

Fashion

Project Duration

In-progress

Location

Canada

Client Name

Jan

Website

FN-AD

Project Overview

FN-AD partnered with Tezeract to automate manual processes like brand classification and lead generation, enhancing efficiency in connecting fashion brands with wholesalers. By leveraging AI solutions for automated profiling and lead management, FN-AD now enjoys a steady stream of qualified leads, allowing them to focus on growth and streamline operations.

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Problem

The branding agencies were following a manual process for their work

FN-AD is an enterprise-level branding agency that connects fashion brands with wholesalers to grow their business and expand into global markets. However, they relied on manual processes like data entry, brand classification, profiling fashion brands, and lead generation, which were slow, repetitive, and time-consuming. These processes made it hard for them to grow and become more efficient.

Additionally, several challenges hindered FN-AD’s operations:

  • Data Scraping is Boring, Tedious, and Time-Consuming: Scraping data from thousands of entities involved in the matchmaking process is a tedious task with a high risk of human error. It is also highly time-consuming and resource-intensive.

  • Manual Matchmaking is Time-Consuming: Connecting fashion brands to the best-matched retailers and distributors for their specific requirements through traditional filtration is labor-intensive and slow, making it difficult to scale efficiently.

  • Low Frequency of Results: Conducting matchmaking through traditional filtration generates highly qualified results but at the cost of fewer high-end matches, limiting the potential to connect with the best partners.

  • Scalability Issues: While traditional filtration methods work with a small number of entities, they become inefficient at larger scales. With tens of thousands or more entities, the manual process becomes unsustainable, resulting in a significant scalability issue.

To streamline their workflows and automate these labor-intensive tasks, FN-AD partnered with Tezeract, seeking a comprehensive AI-powered business automation solution to help automate their manual tasks, improve the efficiency of matchmaking, and make their operations faster and more scalable.

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Solution

Automates their manual processes with our AI automation expertise

As experts in AI automation for branding agencies, we quickly identified FN-AD’s key challenges and worked closely with them to streamline their processes. We automated their manual brand classification workflow, enabling the system to automatically classify fashion brands, create detailed profiles, and match them with suitable wholesalers. This eliminated the need for repetitive manual work, improving efficiency.

Next, by leveraging advanced NLP models and techniques, we optimized their existing algorithm, which previously required manual effort to build brand profiles, find competitors, and identify ideal wholesalers. Using state-of-the-art computer vision modules like LLaVA and Apollo Scraper, we developed an automated system to gather critical information—such as brand competitors, industry insights, and wholesaler details—from the web and seamlessly integrate it into the app. This marked a major step forward in AI solutions for fashion brands.

Finally, we built a customized lead generation CRM for FN-AD. This system automatically scrapes potential leads from target platforms, organizes them within the CRM, and categorizes them using AI labels for better management. Leads are then assigned to team members based on their skills and expertise. With this AI-powered solution, FN-AD has an endless stream of qualified leads, ensuring they no longer face shortages.

The Results

Streamlined Operations with AI Automation

Tezeract’s AI-powered automation replaced slow, repetitive tasks like manual data entry and brand classification, significantly improving FN-AD’s efficiency. This resulted in a 60% reduction in manual effort and a faster turnaround time for brand profiling and lead generation and the organization became 47% more productive.

Enhanced Lead Generation and Management

By implementing an AI-powered CRM, FN-AD now automatically scrapes and organizes potential leads, ensuring a continuous stream of qualified prospects. This system has led to a 50% increase in lead conversion rates by accurately matching leads to the right team members based on their expertise.

Scalability and Efficiency at Scale

Tezeract’s advanced AI solutions, including NLP and computer vision for brand classification and profiling, eliminated scalability issues, allowing FN-AD to manage tens of thousands of entities seamlessly.

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What tech stack do we use for the AI success stories in business automation?

Leveraging FN-AD with Our Advanced Artificial Intelligence Technology Stack

Python
Tensorflow
Reactjs
Amazon
Fastapi
Nest js
Pytorch

The Challenge

  • Fast and accurate matchmaking
Our algorithms used niched data points to match the right brand with appropriate retailers and distributors in the targeted region inorder to help the fashion brand grow. The output creates a list in terms of highest compatibility between the two entities.
  • Assign leads based on a person's skill set

One challenge was developing an AI solution for fashion brands that could efficiently assign leads to team members based on their specific skills and expertise. We aimed to create an AI-powered lead management system that optimizes lead assignment and enhances team productivity. This required designing a sophisticated model to ensure the effective matching of leads to the right team members.

  • Automate manual and time-consuming processes

Automating FN-AD’s manual and time-consuming processes was a major challenge. Our focus was on replacing repetitive tasks like data entry and brand classification with AI-powered automation. We need to develop a solution that significantly improves efficiency and reduces reliance on manual work, showcasing an AI success story in business automation for branding agencies.

  • Optimize AI API for better automation

We faced the task of optimizing the AI API to improve automation for FN-AD. The goal was to enhance the efficiency of processes such as automated brand classification and data integration. By refining the API, we aimed to support fashion industry automation and streamline FN-AD’s operations, making them more effective and responsive.

FN-AD Tezeract
FN-AD Tezeract

The Process

  • Product discovery & scope

First, we collaborated with the FN-AD team to understand their business and goals, developing a detailed project brief with market research and competitor analysis. We then created a concrete plan, outlining key features like automated brand classification, profile creation, and lead management CRM to validate the MVP assumptions.

  • UI/UX screen development

We started by designing the key screens to show the client the product’s look. After refining the UX/UI through client feedback. Once these primary screens were finalized, we expanded the design to cover all additional screens and delivered the complete UX/UI for the product.

  • Solution development

At this stage, our focus shifts to developing the AI solution for fashion brands by designing the architecture of the AI model and training it.

  • Iteration and monitoring

After the product launch, we collected feedback from end-users to refine and enhance the product. We introduced new iterations and features concurrently to ensure an optimal user experience.

Key Features

  • Automated brand classification using AI

We created an automated brand classification system for FN-AD that quickly sorts and classifies fashion brands. This system creates detailed brand profiles and matches them with the right wholesalers, making the process faster and more efficient.

  • Create an automated brand profile

Our AI solution for fashion brands now automatically creates brand profiles for FN-AD. It collects and combines important information about brands, including their competitors, industry, theme, pricing details, etc, all without manual input with AI based on just website URLs and social links. This speeds up profile creation and improves accuracy.

  • Automated leads generation CRM

We built an automated CRM that finds and organizes potential leads for FN-AD. It uses AI to sort and assign leads to the right team members based on their skills, ensuring FN-AD always has a steady stream of qualified leads.

FN-AD Tezeract

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