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PROGRAM 03 · TEAM TRAINING

AI & Data for RMG Professionals

Buyer communication, factory analytics and automation: AI for the garments industry.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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How it runs

3 days at your office, 8 sessions

Three sessions a day plus a hands-on build lab every afternoon. Day 3 ends with capstone presentations.

Day 1

9:00 am – 5:00 pm

AI chatbots for buyer communication

9:00–10:30S1Prompt engineering for RMG work
10:30Tea break
10:45–12:15S2RMG communication & buyer email
12:15Lunch & prayer
1:00–2:30S3Google Workspace as your AI cockpit
2:45–4:30LABBuild lab: prompt library and buyer letters on your files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Factory analytics, then the first two builds

9:00–10:30S4Formulas & RMG data cleaning
10:30Tea break
10:45–12:15S5RMG analytics & management narrative
12:15Lunch & prayer
1:00–2:30S6Projects 01 & 02: Assistant & alerts
2:45–4:30LABBuild lab: MIS dashboard, assistant and alerts on your data
4:30–5:00Q&A and day recap

Day 3

9:00 am – 5:00 pm

Last two builds and the capstone

9:00–10:30S7Project 03: CV screening assistant
10:30Tea break
10:45–12:15S8Project 04: Extraction pipeline
12:15Lunch & prayer
1:00–3:00LABCapstone build clinic
3:15–4:30LABCapstone presentations
4:30–5:00Certificates and next steps
Group: 10–40 people from one organisationSame content and projects in both formatsBangla delivery with English technical termsEvery session ends with a deliverable
Curriculum

8 sessions, one build in each

3 modules · 8 sessions · 4 hands-on projects

PART 1AI Chatbots for RMG Workplace ProductivitySessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek — strengths for RMG work
  • Free vs paid tiers; a workflow needing no international payment card
  • Bangla vs English output quality; when to draft in English and translate

Prompt Engineering Fundamentals

  • What a prompt is; why the same question gives different answers
  • The four-part structure: role, context, task, output format
  • Role prompting — act as a merchandiser, IE engineer or compliance officer
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own work
  • Step-by-step reasoning for multi-part tasks such as costing checks
  • Constraint prompting: what to include, exclude and never assume
  • Chained prompts — breaking a big task into a sequence of smaller ones

Iteration & Prompt Library Building

  • Why the second prompt matters more than the first
  • Diagnosing a bad output: vague instruction, missing context or wrong tool
  • Building reusable prompt templates for repeated RMG tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: buyer prices, costing, LC terms, wage data, worker NID
  • Anonymising data before prompting; safe vs unsafe RMG use cases
  • Hallucination awareness; verifying every figure, date and legal reference
DELIVERABLEa personal prompt library of 10 templates for your department
PART 2Data Analysis with Excel & Google SheetsSessions 4–5
PART 3Applied Projects — AI Assistants & AutomationSessions 6–8
Applied projects

Four automations, running in your organisation

01Session 6

Policy & SOP Assistant

Colleagues ask about the factory handbook, buyer COC or an SOP and get an answer with the section cited.

  1. INHandbook, buyer COC & SOPs
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Compliance & Expiry Alerts

Fire licence, boiler certificate, buyer audit, insurance and calibration dates checked daily, with alerts 30, 15 and 7 days ahead.

  1. INCompliance & renewal sheet
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

CV Screening Assistant

CVs uploaded through a form become structured rows scored against the job description; AI sorts, humans decide.

  1. INCVs in a Drive folder
  2. AIGemini structured extraction
  3. OUTScored shortlist in your sheet
Built with Gemini API · Make · Drive
04Session 8

Document Extraction Pipeline

Invoices and packing lists dropped in a folder become clean rows, and labelled buyer threads get a draft reply for review.

  1. INInvoices & packing lists
  2. AIGemini structured extraction
  3. OUTRows and flags in your sheet
Built with Gemini API · Make · Drive

Capstone presentation

Each person presents one automation built for their own workplace.

Day 3 afternoon
Applied across every session

Responsible & Ethical AI in RMG

Fairness & Non-Discrimination

  • Where bias enters: job-ad wording, screening criteria, past hiring patterns
  • Proxy discrimination — university, address, age and gender inferred indirectly

Transparency & Worker / Candidate Rights

  • Telling people when AI is used, and what it is used for
  • Explainability: stating the reason for a decision without pointing at a tool

Privacy & Data Protection

  • Data minimisation — collecting only what the decision requires
  • Retention and deletion of applicant, worker and buyer data

Accountability & Human Oversight

  • Human-in-the-loop by design: AI recommends, a named person decides
  • Who owns an AI-assisted decision when it is challenged

Building Your AI Use Policy

  • Approved tools, acceptable use and prohibited data categories
  • Disclosure rules: when AI involvement must be stated in a document

Workforce Impact & Honest Communication

  • Talking to staff about AI without triggering job-loss fear
  • Reskilling and role redesign as AI absorbs routine work
Outcomes

By the end, your team can

  • Choose the right AI tool and write prompts that work first time
  • Maintain a prompt library covering your repeated RMG tasks
  • Handle buyer email and meetings end to end with AI support
  • Clean factory data and build a management dashboard
  • Produce decks, graphics and training video without a design team
  • Apply fairness, transparency and privacy to every AI-assisted decision

And leaves with

Production, quality and manpower analysis built with AI assistance
Management commentary you can defend number by number
Meeting minutes and action lists that assign themselves
Licence, contract and audit alerts that reach the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own department

Tools your team will use

Chatbots
ChatGPTGeminiClaudeCopilotDeepSeek
Content
CanvaGammaCapCutGoogle Slides
Data
Microsoft ExcelGoogle Sheets
Workspace
GmailCalendarMeetFormsDrive
Automation & AI Builds
MakeGoogle AI StudioApps Script

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables)
  • One real work file to practise on from Session 3
  • No coding background required — free tiers only

How your team will learn

  • Build-along classes — you work while the trainer works
  • Practise on your own workplace file, not dummy data
  • Recordings, prompt library and setup guides for download
  • Certificate of completion after capstone submission
Request a proposal

Bring this program to your factory team

Tell us about your team. We reply within one working day with a plan built around your own documents and workflows.

  1. 1 · A short discovery call with your factory lead
  2. 2 · We tailor examples to your masked files
  3. 3 · Offline at your office, or online live classes
Chat on WhatsApp
Request a proposal