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PROGRAM 16 · TEAM TRAINING

AI & Data for E-commerce & F-commerce Sellers

More sales, fewer hours: AI for online shops and Facebook sellers.

Who books it: Online shop teams, plus seller communities, e-commerce associations, incubators and SME programmes training groups of sellers.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
CHOOSE A FORMAT
Request a proposalSee the curriculum

Who this course is for

  • Owners and teams of Facebook pages and online shops
  • Daraz and marketplace sellers and their catalogue staff
  • Order handling, customer service and moderator teams
  • Marketing, content and operations staff at e-commerce companies

What your team will be able to do

  • Write product titles, descriptions and Bangla captions that sell
  • Answer inbox and comment questions fast with a reply library
  • Clean order, courier and stock data and see what really makes money
  • Deploy four working automations in your own shop
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 e-commerce work

9:00–10:30S1Prompt engineering for e-commerce
10:30Tea break
10:45–12:15S2Product content, ads & offers
12:15Lunch & prayer
1:00–2:30S3Customer messages & after-sales
2:45–4:30LABBuild lab: listings and reply library for your shop
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Profit analysis, then the first two builds

9:00–10:30S4Formulas & order data cleaning
10:30Tea break
10:45–12:15S5Orders, returns & real profit
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Shop assistant & tracker
2:45–4:30LABBuild lab: profit dashboard, assistant and alerts
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: Return & refund requests
10:30Tea break
10:45–12:15S8Project 04: Invoice & courier extraction
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 E-commerce WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for e-commerce work (product copy, Bangla captions, inbox replies, order tables)
  • Free vs paid tiers; a workflow that needs no international payment card
  • Bangla vs English output quality; when to draft in English and translate
  • Which tool for a long document, which for a formula, which for a polished letter

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 an online shop owner, page moderator, product copywriter or order operations lead
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own e-commerce work
  • Step-by-step reasoning for multi-part tasks such as pricing a product after courier, COD charge and return cost or comparing two courier services
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a product launch (product facts → title → description → photos → caption → ad → FAQ replies) into a sequence of smaller steps

Iteration & Prompt Library Building

  • Why the second prompt matters more than the first; refining instead of restarting
  • Diagnosing a bad output: vague instruction, missing context or wrong tool
  • Building reusable prompt templates for repeated e-commerce tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: customer names, phone numbers and addresses, payment screenshots with account numbers, page and ad account passwords, supplier prices, courier login details
  • Anonymising data before prompting; safe vs unsafe e-commerce use cases
  • Hallucination awareness; verifying every figure, date, name and legal reference
  • The verification rule: AI drafts, a person checks before anything leaves the building
DELIVERABLEa personal prompt library of 10 templates for your repeated e-commerce tasks.
PART 2E-commerce Data Analysis in Excel & Google SheetsSessions 4–5
PART 3Applied Projects: AI Assistants & AutomationSessions 6–8
Applied projects

Four automations, running in your organisation

01Session 6

Shop Policy & Product FAQ Assistant

Moderators, order staff and new team members ask about products, delivery and returns and get answers from your catalogue, with the section cited.

  1. INCatalogue & shop policies
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Shop Renewal & Supplier Deadlines

Licence, domain, supplier payment, courier settlement and campaign dates checked daily, with alerts 30, 15 and 7 days ahead.

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

Return & Refund Request Workflow

Return and refund requests routed to the order lead, then the owner above a refund amount, with repeat returns flagged.

  1. INReturn request form
  2. RULESApproval routing script
  3. OUTReturn and stock sheets updated
Built with Apps Script · Forms
04Session 8

Supplier Invoice & Courier Extraction

Supplier invoices and courier statements become clean rows, with settlements matched to orders and missing COD money flagged.

  1. INInvoices & courier statements
  2. AIGemini structured extraction
  3. OUTChecked rows in your sheet
Built with Gemini API · Drive

Capstone presentation

Each person presents one automation built for their own workplace.

Day 3 afternoon
Applied across every session

Responsible & Ethical AI in E-commerce

Fairness & Non-Discrimination

  • Where bias enters e-commerce decisions: data, wording, criteria and past patterns
  • Proxy discrimination: address, age, gender or background inferred indirectly

Privacy & Data Protection

  • Data minimisation: collect only what the decision requires
  • Retention and deletion of customer and supplier data

Honest Selling & Customer Trust

  • Product photos and descriptions show the real product
  • No fake reviews, fake discounts or fake urgency

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

Workforce Impact & Your AI Use Policy

  • Talking to e-commerce teams 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 e-commerce tasks
  • Write product listings, captions and ads in Bangla and English
  • Run inbox replies, order confirmation and returns consistently
  • Clean order and courier data and see real profit per order
  • Build and deploy automations with Make, Apps Script and the Gemini API
  • Apply fairness, transparency and privacy to every AI-assisted decision

And leaves with

Twenty product listings, a visual set and a festival campaign plan
A 30-reply inbox library and a Bangla return policy
A sales, returns and profit dashboard
A grounded shop policy & product faq assistant your colleagues can use
A shop renewal & supplier deadline tracker that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own online shop

Tools your team will use

Chatbots
ChatGPTGeminiClaudeCopilotDeepSeek
Content
CanvaGammaCapCutGoogle Slides
Data
Microsoft ExcelGoogle SheetsPower Query
Workspace
GmailCalendarMeetFormsDrive
Automation & AI builds
MakeGoogle AI StudioApps ScriptGemini API
E-commerce tools
Meta Business SuiteMeta Ads Manager & Ads Librarycourier merchant panelsLooker Studio

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel or Sheets comfort and a sample order sheet or courier export from your shop
  • One real work file to practise on from Session 2
  • 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
  • every session ends with a deliverable
  • Bangla delivery with English technical terms
  • recordings, prompt library and setup guides
  • certificate after capstone submission
Request a proposal

Bring this program to your shop 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 shop 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