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PROGRAM 08 · TEAM TRAINING

AI & Data for Supply Chain & Logistics Professionals

Forecast demand, manage stock and keep shipments moving, with AI in the loop.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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Who this course is for

  • Supply Chain, Procurement and Purchase teams
  • Warehouse, inventory and store management staff
  • Logistics, distribution, transport and commercial (import-export) teams
  • Supply chain teams in FMCG, pharma, RMG, retail, e-commerce and 3PL firms

What your team will be able to do

  • Write RFQs, vendor emails and negotiation briefs in minutes
  • Forecast demand with seasonality and set sensible reorder points
  • Find slow movers, stock-out risks and the real causes of delivery delay
  • Deploy four working automations in your own supply chain team
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 procurement and logistics

9:00–10:30S1Prompt engineering for supply chain
10:30Tea break
10:45–12:15S2Procurement, vendors & negotiation
12:15Lunch & prayer
1:00–2:30S3Warehouse & logistics communication
2:45–4:30LABBuild lab: RFQ and quote comparison for a real item
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Forecasting, then the first two builds

9:00–10:30S4Formulas & supply chain data cleaning
10:30Tea break
10:45–12:15S5Forecast, stock & delivery analytics
12:15Lunch & prayer
1:00–2:30S6Projects 01 & 02: Assistant & alerts
2:45–4:30LABBuild lab: forecast, 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: Requisition & vendor approval
10:30Tea break
10:45–12:15S8Project 04: Invoice & shipping 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 Supply Chain WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for supply chain work (RFQs and vendor letters, quote comparison tables, import document checks, forecast formulas)
  • 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 a procurement manager, warehouse manager, logistics planner or commercial officer
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own supply chain work
  • Step-by-step reasoning for multi-part tasks such as comparing three vendor quotes on total landed cost or setting a reorder point
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a sourcing decision (requirement → RFQ → quote comparison → negotiation brief → recommendation) 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 supply chain tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: vendor price lists and negotiated rates, bid amounts, supplier bank details, customs and LC documents with real values, driver personal data
  • Anonymising data before prompting; safe vs unsafe supply chain 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 supply chain tasks.
PART 2Supply Chain 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

Procurement & Warehouse Policy Assistant

Purchase, store and logistics colleagues ask about policy or authority and get an answer with the section cited.

  1. INProcurement policy & SOPs
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Shipment, Contract & Compliance Alerts

LC and shipment deadlines, vendor contracts, vehicle renewals and near-expiry batches checked daily, with alerts 30, 15 and 7 days ahead.

  1. INShipment & contract tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Purchase Requisition & Vendor Approval

Requisitions routed by value to the department head, supply chain and finance, with stock and budget checked before approval.

  1. INPurchase requisition form
  2. RULESApproval routing script
  3. OUTPO tracking row
Built with Apps Script · Forms
04Session 8

Invoice, Challan & Shipping Extraction

Supplier invoices, challans and shipping documents become clean rows, with three-way match and duplicate invoice checks.

  1. INInvoices & shipping documents
  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 Supply Chain

Fairness & Non-Discrimination

  • Where bias enters supply chain 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 supplier, driver and customer delivery data

Fair Sourcing & Responsible Supply

  • Equal and transparent treatment of all bidding vendors
  • No AI-driven blacklisting of a supplier without review and a right to respond

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 supply chain 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 supply chain tasks
  • Write RFQs, compare quotes and draft purchase recommendations
  • Forecast demand, set reorder points and manage slow and near-expiry stock
  • Clean inventory and delivery data and build a supply chain dashboard
  • 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

An RFQ template, vendor scorecard and recommendation note
A demand forecast for your top products with reorder points
An inventory and delivery dashboard with commentary
A grounded procurement & warehouse policy assistant your colleagues can use
A shipment, contract & compliance alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own supply chain team

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
Supply Chain tools
Power BI basicsGoogle MapsTally or ERP exports

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and an export of stock, purchase or delivery data
  • 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 supply chain 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 supply chain 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