Case study | Corporate AI training

AI Market Intelligence Hub

A hands-on demo built for an international drinkware brand’s corporate training. It collects public market data every day and uses a BI dashboard and AI to turn it into insights that marketing, sales and operations can act on — and it helped the client win internal approval.

Overview: key metrics, positioning and buzz trends at a glance
Client
International drinkware / kitchenware brand (Taiwan market)
Project
Hands-on demo for session 1 of a corporate AI course
Users
Marketing, sales and operations teams
Timeline
Live within one week, running daily since

Brand and competitor names are anonymised (shown as Brand A–F) to protect the client; all figures come from public market data. The live demo is the original showcase version.

The challenge

01

Scattered, slow intelligence

News, e-commerce prices and reviews, forum threads and YouTube reviews were compiled by hand each week — always a step behind.

02

Different teams, different needs

Marketing watches buzz and topics, sales watches price and channels, operations watches stock and risk. One report rarely fits all.

03

AI without a use case

Plenty of AI tools, but no everyday application connected to real data.

The solution: an automated flow from data to action

  1. 1

    Collect

    Google News, PChome, Yahoo Shopping, PTT, YouTube, regulations and patents

  2. 2

    Schedule

    Google Apps Script runs every morning, with timeout protection

  3. 3

    Consolidate

    Clean, de-duplicate and filter name collisions, stored in Google Drive

  4. 4

    Dashboard

    6 analysis areas across 26 pages, on desktop and mobile

  5. 5

    AI analysis

    Gemini AI analyst Q&A, daily briefings and a weekly management report

Highlights

Structured around market, customer, opportunity and action, with every page answering one business question.

A weekly management report, delivered automatically

Every Monday morning the week’s highlights, team actions and key news arrive by email — no login needed.

  • Buzz, price, promotion and topic highlights
  • One concrete action each for marketing, sales and operations
  • Key news with source links
A weekly management report, delivered automatically

Results

6 areas

26 pages covering market, competitors, customers, opportunities and actions

Daily

Data refreshes automatically with no manual upkeep

15 / 15

Correct answers on a benchmark set of AI questions

NT$0

AI runs on free-tier quota, so running costs are near zero

A data audit and a 26-page desktop and mobile review were completed before launch, with zero issues outstanding.

Want one for your brand?

Three ways to start, depending on scope. Reference prices excl. tax; final quotes depend on data sources, customisation and timeline.

AI training + hands-on demo

Full-day course

From NT$68,000

  • Demo scenario built around your category
  • Walk your team from data to analysis to action
  • Ideal for building alignment before investing
See training plans

Market dashboard (Lite)

2–3 weeks

From NT$150,000

  • 3–5 public data sources, refreshed daily
  • Core pages: buzz, price and reviews
  • Automated weekly report
Get in touch

Optional maintenance from NT$8,000/month: source changes, new metrics and issue handling. Compared with social-listening platforms at roughly NT$480,000+ per year (excl. setup), you own the data and the workflow.

FAQ

Where does the data come from?

Public news, e-commerce, forum and video data only — no personal data. Internal data can be added if needed.

Can it work for our industry?

Yes. Category keywords, competitor lists and sources are configurable — a good fit for consumer goods, retail and F&B.

What does the AI cost?

It runs on free-tier AI quota by default, so day-to-day costs are minimal. Paid tiers can be added for speed or volume.

What do we need to prepare?

One point of contact, the brands and competitors to track, and the 3–5 questions each team most wants answered.

Make data drive your decisions

From data strategy and CRM/MarTech implementation to reporting and automation — tell me the problem you want to solve and I will reply within two business days.