Course Introduction
AI Data Analysis in Practice. From spreadsheets to decisions: framing questions as data problems, AI-assisted analysis with verification, KPI design, and insight-to-action conversion. Built from real pet-industry and SMB implementations: every workflow runs on free tools, every output includes a human checkpoint, and every claim is measurable within a month.
- I can score and rank my operation's AI candidates
- I know the human checkpoints for each flow
- I have baseline times recorded for comparison
Deep Dives and Templates
The full course covers tool selection, step-by-step builds, failure-point analysis and copy-paste templates for this domain's highest-value scenarios. The Chinese edition carries the full chapter detail; start with the framework below and iterate weekly.
The Industry AI Framework
Industry AI adoption follows the same three-move rhythm regardless of sector: inventory your tasks, pilot the highest-value one this month, replicate the winning pattern next month. Tools cost nothing to start — the constraint is management attention, roughly 30 weekly minutes per store or team.
You are a senior [industry] consultant who has served 100+ similar SMBs.
My business: [size/location/customers in one line].
My biggest pain point: [description].
Give me: (1) the root-cause diagnosis, (2) three peer-validated solutions ranked by cost,
(3) for each, the literal first step I can take today.
| Task | Traditional | With AI | Effect |
|---|---|---|---|
| Data organisation | Manual copy-paste (hours) | AI structured extraction (minutes) | -90% time |
| Customer communication | Replying one by one | AI drafts + human send | 3x capacity |
| Decision analysis | Gut feel | Data + AI multi-angle review | Fewer blind spots |
| Knowledge transfer | Word of mouth | AI knowledge base (ask anytime) | 3x faster onboarding |
- I completed the task-by-AI scorecard for my operation
- I picked one pilot task starting this week
- I defined the human quality checkpoint
- I recorded baseline times for before/after comparison
A similar-sized SMB ran the same three moves (inventory → pilot → replicate): month one piloted customer-enquiry replies, cutting response time from 6 hours to 40 minutes; month two copied the pattern to quotations; month three trained all staff. Quarterly capacity rose 30% at zero tool cost. The rhythm of "one scenario per month" matters more than any tool.
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Frequently Asked Questions
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