Study Guide: Alex for Supply Chain & Logistics Students

Your reference for applying AI to inventory management, route optimization, warehouse operations, procurement, and supply chain analysis. Ready-to-run prompts — built around the decisions that move product from origin to customer.

What This Guide Is Not

This is not a habit formation guide (see Self-Study Guide for that). This is a domain use-case library — how AI supports your supply chain and logistics education in practical, industry-ready ways.

Where to Practice These Prompts

Every prompt in this guide works with any AI assistant — ChatGPT, Claude, GitHub Copilot, Gemini, or whatever tool you prefer. The prompts are the skill; the tool is just where you type them. Pick the one you’re comfortable with and start today.

For an integrated experience, the Alex VS Code extension (free) was purpose-built for this workshop.

You don’t need a specific tool to benefit. You need the habit of thinking systematically about the flow of goods, information, and money.

Core Principle for Supply Chain & Logistics Students

Supply chain is the invisible system that makes everything else possible. When it works, nobody notices. When it breaks, everyone notices. The student who understands that every supply chain decision is a tradeoff — speed vs. cost, inventory vs. stockouts, local vs. global sourcing — has the analytical mindset employers want. AI is your analyst for working through these tradeoffs with data rather than gut feeling.

The Seven Use Cases

1. Inventory Management and Demand Planning

The logistics student’s inventory challenge: Too much inventory ties up capital. Too little causes stockouts and lost sales. The art is in the middle — and getting there requires understanding demand patterns, lead times, safety stock calculations, and the real cost of being wrong in either direction.

Prompt pattern:

I am managing inventory for [product type / business context].
Current situation: [average demand, lead time, order frequency, storage constraints].
Problem: [stockouts / excess inventory / seasonal spikes / unreliable supplier lead times].

Help me:
1. Calculate the economic order quantity (EOQ) and reorder point for this scenario
2. Determine appropriate safety stock levels given the demand variability described
3. Identify which inventory management model (periodic vs. continuous review) fits this situation
4. What KPIs should I track to know if my inventory strategy is working?

Follow-up prompts:

Demand for [product] spikes 300% during [season]. How do I plan for this without being stuck with dead inventory in the off-season?

My supplier's lead time just went from 2 weeks to 6 weeks. What changes immediately in my inventory model? Walk me through the math.

Explain ABC analysis to me using my inventory data: [list products and characteristics]. Which items deserve the most management attention?

2. Warehouse Operations and Layout

The logistics student’s warehouse challenge: Warehouse efficiency is about design — how goods flow from receiving to storage to picking to shipping. A poorly designed warehouse creates bottlenecks, errors, and injuries. The student who can analyze a warehouse layout and propose improvements thinks like an operations manager.

Prompt pattern:

I am analyzing warehouse operations for [type: distribution center / fulfillment center / cold storage / manufacturing warehouse].
Current layout: [describe zones — receiving, storage, picking, packing, shipping].
Volume: [orders per day, SKU count, peak periods].
Problems: [what's not working — slow pick times, damage, errors, congestion].

Help me:
1. Identify the bottleneck in the current workflow
2. Suggest layout improvements that reduce travel time and handling
3. Recommend a picking strategy appropriate for the volume and SKU profile (batch / zone / wave)
4. Calculate the labor and space implications of the proposed changes

Follow-up prompts:

We're switching from paper-based picking to a WMS. What changes in our workflow, and what are the most common implementation mistakes?

Our error rate on outbound orders is [X]%. Help me trace the likely root causes and suggest quality checkpoints.

Design a slotting strategy for our top 50 SKUs. The goal is to minimize picker travel time for the 80% of orders that contain these items.

3. Transportation and Route Planning

The logistics student’s transportation challenge: Moving goods from A to B sounds simple until you factor in mode selection, carrier rates, consolidation opportunities, fuel costs, delivery windows, and regulations. The student who understands transportation economics can optimize the most expensive part of the supply chain.

Prompt pattern:

I need to plan transportation for [shipment details: origin, destination, weight, dimensions, commodity type, delivery deadline].
Options available: [modes — TL, LTL, intermodal, parcel, air, ocean].
Constraints: [temperature requirements, hazmat, delivery windows, customer requirements].

Help me:
1. Select the optimal mode and explain the tradeoff (cost vs. speed vs. reliability)
2. Identify consolidation opportunities if I have multiple shipments
3. Estimate total landed cost including fuel surcharges, accessorial charges, and handling
4. What could go wrong with this routing and how do I build in contingency?

Follow-up prompts:

My carrier just notified me of a two-day delay on a customer's critical shipment. Walk me through my options — reroute, expedite, communicate? In what order?

Compare the total cost of TL vs. LTL for this shipment scenario. Include the hidden costs students usually miss.

Explain incoterms to me using a real example. I can read the definitions but I don't understand who's responsible for what at each stage.

4. Procurement and Supplier Management

The logistics student’s procurement challenge: Procurement is not just buying things at the lowest price. It’s managing supplier relationships, negotiating contracts, evaluating total cost of ownership, and mitigating supply risk. One bad supplier can shut down a production line.

Prompt pattern:

I need to evaluate [procurement situation: new supplier selection / contract renegotiation / make-vs-buy decision / supplier performance review].

Context: [what we're buying, current suppliers, volumes, quality requirements].

Help me:
1. Build a supplier evaluation scorecard — what criteria matter most for this purchase?
2. Calculate total cost of ownership, not just unit price (include quality costs, logistics, risk)
3. Identify the risks in this supply arrangement and suggest mitigation strategies
4. Draft the key terms I should negotiate in the contract — what protects my organization?

Follow-up prompts:

My sole-source supplier just raised prices 15%. What are my options — negotiate, dual-source, redesign? Walk me through each scenario.

I need to write an RFQ (Request for Quote) for [product/service]. Help me write one that gets useful, comparable responses from suppliers.

A supplier is consistently delivering late. Help me draft a performance improvement communication that's firm but preserves the relationship.

5. Data Analysis and Supply Chain Metrics

The logistics student’s analytics challenge: Supply chain decisions should be data-driven, but the data is messy — spread across ERP systems, carrier reports, and Excel files. The student who can analyze supply chain data, calculate meaningful metrics, and present actionable insights stands out immediately.

Prompt pattern:

I have supply chain data showing: [describe the data — order history, shipping performance, inventory levels, cost breakdown].

Help me:
1. Calculate the key supply chain metrics: [fill rate, on-time delivery, inventory turns, carrying cost, perfect order rate, cash-to-cash cycle time]
2. Identify trends, outliers, or problems in the data
3. Build a dashboard recommendation — which 5 metrics should leadership see weekly?
4. Translate the findings into a business recommendation, not just numbers

Follow-up prompts:

Our on-time delivery rate dropped from 95% to 87% over three months. Help me investigate — what data do I need, and what are the most likely causes?

Explain the bullwhip effect using our order data. Where is the amplification happening and what's causing it?

I need to present supply chain performance to a non-technical audience. Help me tell the story of the data, not just show the charts.

6. Supply Chain Risk and Disruption Management

The logistics student’s risk challenge: COVID, the Suez Canal blockage, semiconductor shortages — every supply chain student has seen what happens when the system breaks. Risk management is now a core competency, not a nice-to-have. The student who can map vulnerabilities and build resilience is invaluable.

Prompt pattern:

I am analyzing supply chain risk for [product line / organization / supply network].
Current supply chain: [describe the network — suppliers, manufacturing locations, distribution, key dependencies].

Help me:
1. Map the single points of failure — where is one disruption away from shutting down operations?
2. Assess the likelihood and impact of the top risks (supplier failure, logistics disruption, demand shock, regulatory change)
3. Build a mitigation plan — what do we do to reduce risk, and what's the cost of resilience?
4. Design a disruption response plan — if [scenario] happens tomorrow, what's the first 48-hour playbook?

Follow-up prompts:

Our primary supplier is in [country with geopolitical risk]. Should we dual-source? Walk me through the cost-benefit analysis.

A port strike just shut down [port]. How do I reroute? What's the lead time and cost impact? Help me make the decision TODAY.

Build me a supply chain risk scorecard template I can apply to any new supplier or region evaluation.

7. Career Development and Certification

The logistics student’s career challenge: Supply chain roles span planning, procurement, warehousing, transportation, and analytics. Certifications (APICS CPIM, CSCP, Six Sigma) accelerate careers. The student who has both the credential and the practical experience moves fastest.

Prompt pattern:

I am pursuing a career in [supply chain specialization: logistics management / procurement / warehouse operations / supply chain analytics / transportation planning].
My current position: [student, entry-level, transitioning from another field].
Certifications I'm considering: [APICS CPIM / CSCP / CLTD / Six Sigma Green Belt / other].

Help me:
1. Map the realistic career progression from entry-level to where I want to be in 5 years
2. Which certification should I pursue first and why?
3. What hands-on experience or projects can I build while still in school?
4. What do hiring managers for this role actually look for vs. what job postings say?

Follow-up prompts:

Generate APICS CPIM practice questions on [topic]. Explain the reasoning, not just the answer.

Review my resume for a logistics coordinator position. What's missing, and how do I demonstrate supply chain thinking without years of experience?

What supply chain technology skills (ERP, WMS, TMS, data tools) should I be learning now to be competitive?

What Great Looks Like

After consistent use, you should notice:

• Inventory decisions are based on calculated models, not guesses
• You can analyze a warehouse layout and identify inefficiency without waiting for problems
• Transportation decisions consider total cost, not just the rate quote
• Supply chain risks are mapped and mitigated before they become crises
• Your analysis tells a story that non-supply-chain managers can act on

The supply chain students who benefit most from AI are the ones who use it to build analytical depth — because this field runs on data, tradeoffs, and systems thinking.

Your AI toolkit: These prompts work in ChatGPT, Claude, Copilot, Gemini — and in the Alex VS Code extension, which was designed around them. Start with whatever you have. The skill transfers across all of them.

Your First Week: Practice Plan

Month 2–3: Advanced Applications

Case Study Archive

/saveinsight title="SC Case: [topic]" insight="Scenario: [summary]. Analysis method: [what I applied]. Key tradeoff: [what made the decision hard]. Decision: [what I chose and why]. Outcome lesson: [what I learned]." tags="supply-chain,case-study,analysis"

Metric Fluency Builder

/saveinsight title="Metric: [name]" insight="Formula: [calculation]. What it measures: [in plain language]. Good range: [benchmarks]. When to worry: [what values signal a problem]. How to improve: [levers]." tags="supply-chain,metrics,analytics"

Continue your practice: Self-Study Guide — the 30/60/90-day habit guide.