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TAMBot

LLM-powered market analysis tool

Industry

Market Research and Consulting

Project Duration

4 months

Location

US

Client Name

Razeen

Website

Tamlab

Project Overview

Tambot is an AI-powered Excel plugin designed to automate the creation of Total Addressable Market (TAM) reports. By simply inputting keywords, users can generate detailed reports as Tambot handles all the research, utilizing multi-agent LLMs and web scrapers for data collection and analysis. This innovative tool streamlines the reporting process, significantly reducing manual effort and boosting efficiency in market analysis.

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Problem

Manual Creation of TAM Reports

Our client, Razeen, was with a data governance and management company, where creating Total Addressable Market (TAM) reports for various industries and markets was a routine task. The manual process involved extensive research and analysis, leading to time-consuming report creation. To improve efficiency, Razeen sought a solution for TAM report automation.

Tezeract collaborated with Razeen to develop a cutting-edge LLM-powered market analysis tool. This AI-driven solution automates the creation of TAM reports, significantly reducing manual effort and streamlining the process.

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Solution

Automating TAM Report Creation with AI

Razeen partnered with Tezeract to develop an AI-powered Excel plugin designed for automating TAM report creation with AI. This innovative plugin simplifies the TAM report automation process by allowing users to input key details such as market industry, year, region, and other relevant information. The tool then automatically generates comprehensive TAM reports, eliminating the need for manual research.

To ensure the solution met their specific needs, we collaborated closely with Razeen’s team to understand their reporting methods and processes. The plugin leverages multi-agent LLMs for business automation, including advanced models like Claude, Gemini, and GPT, as well as web scrapers to gather data from the web. These LLM-powered market analysis tools perform tasks such as trend analysis, forecasting, and other market insights, seamlessly transforming raw data into actionable TAM reports.

This multi-agent LLM case study highlights how integrating sophisticated AI models can revolutionize business reporting and analysis.

The Results

Streamlined Report Generation

The AI-powered TAM plugin automates the entire process of creating comprehensive market reports, reducing manual effort by up to 70%, and enabling quicker decision-making with actionable insights generated in minutes rather than hours.

Enhanced Accuracy and Forecasting

By integrating multi-agent LLMs and intelligent data collection, the solution improves the accuracy of market insights, offering precise forecasting and trend analysis, which elevates the quality of TAM reports and enhances strategic planning.

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What tech stack do we use for the Multi-agent LLM for business automation?

Leveraging TAMbot with Our Advanced Artificial Intelligence Technology Stack

OpenAI
Fastapi
Claude
Python
gpt4.o
selenium
TAMBOT Tezeract
TAMBOT Tezeract
TAMBOT Tezeract

SERP API

The Challenge

  • Creating Intelligent Optimized Scraper

Designing an intelligent, optimized scraper required crafting algorithms to extract relevant market data, including industry-specific insights and regional information. This enhancement allowed for precise data collection and better-informed TAM reports.

  • Optimizing the Data Extracted from the Web

We prioritized optimizing the extraction of web data to accurately reflect market industry trends and regional specifics. This refinement improved the quality of the data used, ensuring that the AI models provided actionable and insightful TAM reports.

  • Creating Optimized API

Developing an optimized API was essential for integrating the AI plugin with external data sources. We focused on fine-tuning the API to handle detailed inputs such as market industry, year, and region, ensuring efficient and accurate real-time processing for TAM report generation.

TAMBOT Tezeract
TAMBOT Tezeract

The Process

  • Product discovery & scope

First, we collaborated with the 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 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

  • Intelligent Crawling

The TAM plugin utilizes intelligent crawling as part of its LLM-powered market analysis tool to automatically collect data from diverse sources. By focusing on industry-specific and regional information, this feature enhances TAM report automation, ensuring comprehensive and accurate data for generating detailed TAM reports.

  • Forecasting

The plugin employs advanced forecasting techniques powered by multi-agent LLMs for business automation. By analyzing historical market data, it predicts future trends, adding strategic insights to the automating TAM report creation with AI and improving the overall accuracy and usefulness of the reports.

  • Hosted Excel Plugin

As a hosted Excel plugin, the solution integrates seamlessly with Excel, offering a user-friendly platform for automating TAM report creation with AI. This multi-agent LLM case study demonstrates how the plugin simplifies TAM report generation, allowing users to efficiently input data and receive automated, actionable insights.

TAMBOT key features

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