Explain the value
The host’s price or value explanation, with the correct product.
Check that the offer is still valid.Groove / E-commerce & TikTok Shop
AI for the work
behind your shop.
Know what to reorder. See what makes money. Turn daily LIVE footage into content your team can use.
AI training and AI operations for Malaysian e-commerce teams. Built from real shop work. Run onsite or online.
One-day programmes · Your own work · HRD Corp claimable for eligible employers
Footage and workshop examples: Zucca · Labu-Labu
Inside the content workflow / Zucca
20 hosts go LIVE every day.
The footage can keep working.
At Zucca, daily LIVE sessions already contain product demonstrations, fabric close-ups, shoppers’ questions and reasons to buy.
The opportunity is to turn those moments into Reels and short cuts, then test suitable versions as ads. The team starts with footage it already has.
One recording. Several jobs for the edit.
Illustrative workflow5 hours
features and offers
of LIVE footage
Product demos, questions,features and offers
Claude Code
Work through the transcript
and extracted frames.
The team’s briefProduct + audienceFeature + supporting shotHook + call to action
5 candidate cuts
▶Value
▶Feature
▶3 reasons
▶Host
▶CTA
Each cut has a different purpose.
Human reviewCheck product, claims, offer and CTAReels & ad testsCompare hooks, features and calls to action
Five hours and five candidate cuts illustrate a brief, not a measured processing time or a guaranteed yield. The source footage and the brief determine what is usable.
The prompt tells AI
what the shot is for.
A fabric close-up becomes useful when the brief says which feature to show, why it matters to the buyer and what the viewer should do next. Claude Code uses that context to select moments and assemble a cut for review.
Participants learn to describe the editorial intent, then check whether the edit delivers it. A good-looking shot alone does not tell that story.
Explore the AI video-editing courseShow a feature
Fit, fabric or coverage, demonstrated by a close-up or full-garment shot.
Match the claim to what is visible.Give three reasons
Three distinct benefits, each supported by a relevant shot.
Keep every reason accurate and useful.Introduce the host
A natural moment that shows how the host explains the product.
Preserve context and a reason to follow.Invite an action
A relevant product moment with an approved call to action.
Match the CTA to the destination.Made by participants
Watch the cut. Read the intent.
These workshop submissions show what the students made. The notes below explain what to look for; they are not verbatim student prompts.
Student edit / 29 seconds
A LIVE moment becomes a short.
Watch how the product, the host’s demonstration and the promotional captions work together. Does the selected shot support the message, and is the next action clear?
Before reuse: check the current price, offer and destination. The original workshop promotion remains in this clip.
View the original student post ↗Student edit / 23 seconds
Give each product benefit a shot.
Look for three reasons to consider the product, with footage that supports each one. The editing brief gives AI a structure and a reason to choose one moment over another.
Before reuse: check that every feature claim matches the garment shown, then adapt the hook and CTA for the intended placement.
View the original student post ↗Footage and workshop examples: Zucca · Labu-Labu
Student work demonstrates content production. Ad performance still needs to be tested.
Training / Onsite or online
A programme for
each part of the team.
Bring the work you already do. Leave with something you can run again. Every programme below is one day; follow the foundation with the track that matches the role.
01 / Shop, account & brand managers
Codex for E-Commerce Operations
This week’s report and reorder plan, built from your own shop exports. The method is saved for next Monday.
1 day · Up to 10 peopleProgramme & outline ↗
02 / Content, social & LIVE teams
AI-Assisted Video Editing & Content Creation
An edited short-form video, a content package and a workflow the team can reuse. Learn to direct the edit through an AI agent.
1 day · Up to 10 peopleProgramme & outline ↗
03 / Everyone: CS, finance, HR & operations
AI for Workplace Productivity
Working AI habits on your own tasks, with one recurring task automated by the end of the day.
1 day · Up to 25 peopleProgramme & outline ↗
04 / Managers & team leads using Claude Pro
Claude at Work, Intermediate
Build on the foundation: team standards in a Claude Project, a live connector and an internal tool built in plain language.
1 day · Up to 25 peopleProgramme & outline ↗
Where to start
One foundation.
Then split by role.
Start everyone with the same prompt method. Give it two to four weeks of real use, then run the three role-specific tracks in parallel.
Stage 1 / Everyone
AI for Workplace Productivity
Ready when each person uses AI weekly and has automated one recurring task.
↓2 to 4 weeksPut the method into daily use
Claude at Work
Team standards in a Claude Project. One internal tool replaces a neglected spreadsheet.
Codex for E-Commerce Operations
The weekly report comes out the same way every Monday, whoever runs it.
AI Video Editing
LIVE replays become clips the same week, using a workflow the team can run.
↓When the workflow needs to run daily
Stage 3 / Owner or ops lead
Audit, then build
A two-week audit, then implementation on the shop’s own data. A small team can stop at Stage 2.
Built from real shop work
Experience the team
can build on.
To one production build
Two AI agent workspaces for ads and supply chain operators, connected to TikTok APIs, with six production skills.
Read the operations case study ↗Trained in one day
AI visual content at the same apparel brand, including a method for turning ideas in Bahasa Malaysia into English prompts.
Keep running it after training
Non-technical content teams learn to run the replay-to-clips workflow. Owners can also approve agent-drafted website content.
Read the website case study ↗Training, or a build?
The right starting point depends on how often the work needs to run.
One-day training
Help the team make reports and content on the tools you already have, using your own exports.
Programmes & fees ↗Audit, then implement
For hero detection, product profit or API connections that need to run every day.
The two-week audit ↗Ongoing support
Keep the system running and add capabilities as the shop’s needs change.
Discuss ongoing support ↗The work that decides profit
Five places to put AI to work.
Start with the recurring work: a report, a stock decision, a replay nobody has time to edit. Train the team to run it consistently, then connect the parts that need to run every day.
The weekly shop report
Turn shop exports into the same report, the same way, every Monday. Save the method so a new team member can run it too.
Start with the exports you already have.
Which products to reorder
Score products for breakout signals and turn the findings into a reorder plan, instead of cross-checking dashboards by gut feel.
One production build: 10 days, 75 automated tests.
What each product really earns
Bring fees, shipping and ads into the picture. Revenue alone cannot tell you which products are worth selling.
In one shop: shipping made up 55% of platform fees; only about 12% of LIVE ad spend was attributed in the product-level report.
LIVE replays into short clips
Give an AI agent a product, a message and a call to action. Use the footage you already have to make cuts the team can review and test.
One observed run: five 15–30 second clips in about nine minutes, with captions and a cover.
Product visuals before ordering
Explore colourways and designs in content before committing to stock. Teach the team to brief, check and refine AI-generated visuals.
A way to explore ideas before the order.
Practical questions
Before you book.
Who offers AI training for TikTok Shop teams in Malaysia?
Groove Consulting runs AI training for TikTok Shop and e-commerce teams, built from systems we have run in production for a high-volume apparel brand. Programmes cover weekly shop reports, reorder planning and AI video editing.
Which AI training should an e-commerce team take first?
Start with AI for Workplace Productivity for everyone. Then split by role: Claude at Work for managers, Codex for E-Commerce Operations for shop operators, and AI video editing for the content team.
Does the training work for Shopee and Lazada sellers?
Yes. Participants bring their own exports from TikTok Shop, Shopee or Lazada. The method is the same; the field names differ, and the team learns how to check them.
Do our staff need technical skills?
No. Participants brief an AI agent in plain language. They learn to check the numbers, review the outputs and keep the method consistent.
Can you connect AI directly to our TikTok Shop data?
Yes, through TikTok’s Shop and Marketing APIs as an implementation project. A training day uses Seller Center exports and needs no integration.
Is the training HRD Corp claimable?
Yes, for eligible Malaysian employers. We confirm the exact programme and applicable conditions before you book. How the HRD Corp claim works ↗
Your shop. Your next step.
Selling on TikTok Shop,
Shopee or Lazada?
Tell us your monthly order volume, your platforms and the report your team rebuilds every week. We’ll help you choose a training day or a build, and send the outline.