Automate Business Plan Creation: Integrating Market Research with Zapier & ChatGPT

Discover how to seamlessly integrate market research reports with ChatGPT using Zapier, enabling the rapid generation of comprehensive business plans. This tutorial will guide you through automating the process, ensuring you can quickly turn insights into actionable business strategies.
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Key Takeaways:
✩ Integration Overview: Understand the synergy between market research reports, Zapier, and ChatGPT, and how they can work together to produce business plans efficiently.
✩ Step-by-Step Tutorial: Follow a detailed walkthrough on setting up the automation process, ensuring you can replicate the system with ease.
✩ Benefits & Applications: Explore the advantages of this automated approach and how it can be applied across various industries and business sizes.
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Welcome! I'm Corbin ai, the CEO behind the vision of Webcafe AI Nexus. While I lead our ventures into the vast world of AI-driven solutions, it's no secret that my fuel is a mix of tech enthusiasm and copious amounts of coffee. I’m on a mission to architect an ecosystem of AI-focused SaaS platforms, all destined to reshape the business landscape.
Together, we chart the unknown, innovate the unimaginable, and always have a cup ready for the next big idea ☕

[@webcafeai]

Here's the code we used in today's tutorial:
Word Output:
const response = await fetch(inputData["text"]);
const text = await response.text();
const words = text.split(" ");
output = { result: words.slice(0, 20000).join(" ") };
Chunk Maker:
const wordLimit = 5000;
const words = inputData.text.split(/\s+/); // Split by whitespace
const chunks = [];
let currentChunk = [];
for (let word of words) {
if (currentChunk.length + 1 > wordLimit) {
chunks.push(currentChunk.join(' '));
currentChunk = [];
}
currentChunk.push(word);
}
if (currentChunk.length > 0) {
chunks.push(currentChunk.join(' '));
}
// Prepend unique identifiers
const identifiedChunks = chunks.map((chunk, index) => `ID${index + 1}_${chunk}`);
// Return the chunks with identifiers
output = {
chunk1: identifiedChunks[0] || "",
chunk2: identifiedChunks[1] || "",
chunk3: identifiedChunks[2] || ""
};

[@webcafeai]

Navigate to key moments👇
made via tubestamp.com
01:14 - Creating a trigger for Google Drive file automation.
03:36 - Adding code block to output PDF data.
04:51 - Separating and compressing data with GPT 16k.
07:33 - Initial data compression for market research reports.
08:01 - Compressing data for business plan information.
09:10 - Achieving 80-90% compression rate on 5,000 words.
10:41 - Compressing data to identify report's major points.
11:21 - Using GPT 16k for AI automation and analysis.
12:21 - Generating a business plan with GPT from market research.
16:11 - Generating new business idea from market research report.
17:22 - Pushing new business idea to Google doc with GPT.
18:32 - Formatting output in HTML for professional appearance.
19:26 - Reviewing business idea from GPT, focusing on wood flooring adhesives.
Recap by TubeStamp ✏️

[@AlasdairBoyd1]

Hey Corbin! I sent you an email and I'm sad that you have not replied :) hope to hear from you mate.

[@webcafeai]

Hey! I'm not sure if you've received a reply yet, but I respond to all emails during a specific time of day.

[@AlasdairBoyd1]

@@webcafeai Hey Corbin - nothing received but I think I might have some delivery issues with this new address! I sent to your webcafe address.