šŸš€ Your Amazon Reports Just Got Way Smarter

ChatGPT helps you skip the spreadsheets and find what matters.

ā³ Sales Analysis in 5 Minutes or Less

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Sales reports don’t lie—but they do overwhelm.

You download CSVs, export from Seller Central, open up 3 dashboards… and then try to spot the pattern.

Let’s be honest: You know there are valuable insights buried in your data—like when to restock, what products are picking up speed, or which variation is slowly dying out—but connecting those dots manually takes time you don’t have.

That’s where AI comes in.

With ChatGPT, you can summarize performance trends, detect anomalies, and surface actionable insights from your sales data in minutes—not hours.

Let’s break down how to use it smartly.

STEP 1: Prepare the Data You Want to Analyze

First, decide what you want insights on. It could be your:

šŸ‘‰ Amazon Seller Central business reports

šŸ‘‰ Ad spend vs. sales performance

šŸ‘‰ Product variation sales

šŸ‘‰ Weekly/monthly revenue by SKU

Export it as a CSV or paste a simplified version into ChatGPT.

Prompt Tip:

ā€œHere’s my Amazon sales data for the last 30 days across 5 products. Help me identify key trends, best and worst performers, and any unusual patterns.ā€

šŸ’” What AI can catch:

  • Sudden dips or spikes in performance

  • Declining conversion rates

  • BSR improvements

  • Trends by day of week or price changes

STEP 2: Ask ChatGPT to Visualize the Trends

With the right prompts, AI can highlight unusual patterns, compare performance week-over-week, and surface what changed—and why it matters. 

It turns raw metrics into meaningful narratives: why sales dipped, which campaign sparked a spike, or how shopper behavior is shifting. 

It’s like having an analyst who doesn’t miss anything—so you can act faster and smarter.

Prompt Tip:

ā€œBased on this sales data, describe any week-over-week trends in plain English. Include ideas for how I can respond to negative or positive changes.ā€

If you upload a table or breakdown of sales by week, ChatGPT can return:

  • ā€œSales for Product B increased 21% after the price drop on May 10.ā€

  • ā€œProduct C’s sessions dropped significantly after May 22—check indexing or PPC.ā€

This is how you get real insight instead of just metrics.

STEP 3: Summarize Product-Level Insights

Want to know which SKU is silently outperforming… or underdelivering?

By tracking KPIs like conversion rate, session percentage, and advertising ROI across all SKUs, ChatGPT can surface unexpected insights—like a mid-tier product quietly gaining traction, or a bestseller starting to lose momentum. 

Instead of scanning endless spreadsheets, you get instant clarity on where to double down and where to investigate deeper.

Prompt Tip:

ā€œSummarize performance across all SKUs. Rank them by sales velocity and margin. Suggest one improvement for the bottom 2 performers.ā€

You’ll get a product-by-product summary, with clear next steps like:

  • ā€œProduct A is driving the highest revenue but also has the highest return rate—consider updating your listing to set expectations.ā€

  • ā€œProduct D has a strong click-through rate but low conversions—test new images or bullet copy.ā€

STEP 4: Track Promo or Seasonality Impact

Running promotions or expecting seasonal spikes? AI can help you assess what worked.

Prompt Tip:

ā€œAnalyze this data to evaluate the impact of the Memorial Day promotion. Did it boost sales or shift buying behavior?ā€

Or…

ā€œCompare last month’s sales to the same time last year. Summarize seasonal patterns and tell me which products I should restock or push harder.ā€

Now you’re making decisions with evidence, not guesses.

STEP 5: Turn Insights into Action Plans

Summaries are helpful—but strategic recommendations are where the magic happens.

Prompt Tip:

ā€œBased on this summary, give me 3 actions I should take this week to improve performance across my catalog. Prioritize by impact.ā€

ChatGPT can suggest tasks like:

  • ā€œIncrease ad budget for top-performing ASINs while lowering bids on high-ACOS campaigns.ā€

  • ā€œRe-optimize Product C’s title and image carousel—it’s underperforming despite high traffic.ā€

  • ā€œAdd inventory buffer for Product A—it’s gaining momentum and may stock out.ā€

You can even turn this into a weekly or monthly ritual:

ā€œSummarize key sales trends and suggest action steps for this week.ā€

🧠 RECAP:

āœ” Use AI to summarize raw sales data into insights

āœ” Detect performance trends across SKUs, weeks, or events

āœ” Visualize shifts and spot anomalies instantly

āœ” Compare results to prior months or seasons

āœ” Get prioritized action plans you can actually execute

Sales insights should drive action—not cause stress.

With ChatGPT, you can turn your numbers into next steps and focus your energy on what actually moves the needle.

So let me ask you:

What’s one sales trend you’ve been meaning to explore but haven’t had time for?

šŸ’” Never miss out on important updates from the AI world:

1. Amazon’s New Generative AI: Creating Ads with a Single Click (source)

Generative AI is transforming Amazon advertising by helping sellers create high-converting ad creatives, headlines, and copy at scale. 

It enables rapid A/B testing, keyword generation, and performance optimization based on real-time data. 

By leveraging AI, brands can streamline campaign creation and boost ROI without needing large creative teams.

2. OpenAI aims to turn ChatGPT into a life-integrated AI super assistant (source)

A leaked OpenAI strategy document details plans to evolve ChatGPT into a "super assistant" capable of deeply personalized, multimodal, and agentic task support across life contexts. 

Described as a "T-shaped" entity, ChatGPT would manage tasks from planning vacations to writing emails, and it could soon be integrated into hardware.

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Keep exploring and leading the way!

Warmest regards,
Larisa
Chief Marketing Officer, intelliBRAND

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