Stop the Return Tsunami | KNIME + GPT-3.5 Workflow for Retail Analytics

Are product returns eating your profit? In this step-by-step tutorial I build a retail returns-analytics dashboard in KNIME and turbo-charge it with ChatGPT (GPT-3.5)—all in under 16 minutes.

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What you’ll learn
00:00 Intro & why returns matter
00:40 Workflow Architecture
03:24 Loading orders + returns CSVs (workflow-relative paths)
04:54 Joining on order_id + SKU for item-level insights
09:06 Classifying free-text reasons with GPT-3.5 JSON prompts
12:24 Calculating net revenue, return rate % & days-to-return
13:32 Visualizing the KPIs with Bar Charts and Line Plots
14:22 Closing and final comments

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Resources
- Download KNIME workflow (.knwf) + sample datasets - https://hub.knime.com/s/o8WUKX4sfq18eJhs
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Join the conversation
What’s the #1 headache in your returns data? Drop it in the comments below—I might tackle it in the next episode!

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#knime #chatgpt #retailanalytics #DataWrangling101 #ReturnsManagement #EcommerceKPI

Видео Stop the Return Tsunami | KNIME + GPT-3.5 Workflow for Retail Analytics канала Data Wrangling 101