Workshop contents
Session 4 of 4
The Shipping Decision
One customer order may be late. The fastest fix protects the customer, but it loses money. The team must choose the best company decision.
Read This First
This session is a decision exercise. You are not trying to find the perfect answer in the dataset. You are practicing how AI can bring scattered business information into one place so leaders can make a controlled decision.
| Question | Plain answer |
|---|---|
| What is happening? | An order is ready to ship, but the chosen delivery service has a high late-delivery risk. |
| What is the first idea? | Upgrade the whole order to faster shipping. |
| What is the problem? | The faster shipping cost is higher than the order profit, so the order becomes a loss. |
| What must the team do? | Compare the available choices and approve one response before the shipping deadline. |
About this scenario. Some numbers come from the DataCo dataset. Some details, such as delivery quotes, customer urgency, carbon estimates and approval rules, are workshop assumptions. The labels show which is which.
The Order
| Order | Order 50554 for a corporate customer Source Data |
| Current plan | Ship with Second Class service, scheduled for two days Source Data |
| Order value | $1,406.41 in net sales and $55.42 in profit Source Data |
| Delivery risk | In similar historical Second Class orders, 6,258 of 8,146 arrived late, or 76.8% Derived Evidence |
| Deadline | 3:00 p.m. shipping cutoff Workshop Scenario |
Decision questionShould the company ship the order as planned, pay more to speed it up, split the order, or delay and reset the promise?
Why This Is Not a One-Person Decision
Each team sees a different part of the same problem. A good answer needs all of them.
| Team | What they know | Why it matters |
|---|---|---|
| Order Planning | The order is at risk of being late. | The customer promise may fail. |
| Finance | The order has only $55.42 profit. | A costly fix can turn the order into a loss. |
| Warehouse | The order can be split, but only if the decision is made quickly. | The best option may expire. |
| Customer Service | Only two item lines are urgent. | The whole order may not need faster shipping. |
| Logistics | Different shipping choices have different cost, speed and carbon impact. | The team needs a side-by-side comparison. |
Compare the Choices
Sustainity puts the choices in one view so the team can compare service, profit, carbon and approval before deciding.
| Choice | What it protects | What it risks | Can it be approved? |
|---|---|---|---|
| Ship as planned | Protects the original profit | Customer may receive the order late | Yes, but service risk remains |
| Upgrade everything | Protects the customer deadline | Creates a -$36.58 loss and exceeds the carbon limit | No, Finance must review it |
| Split shipment | Sends the two urgent lines faster and keeps the order profitable | Costs $38 and needs quick warehouse action | Yes, if approved before the split window closes |
| Hold and reset promise | Avoids extra shipping cost | Customer waits longer and must agree to the new promise | Only with customer approval |
Costs, carbon estimates, urgency and approval routing are workshop assumptions Workshop Scenario. Remaining profit is calculated from the order's $55.42 starting profit Derived Evidence.
The Approval Rules
The point is not only which option looks best. The team also needs to know who is allowed to approve it.
| Rule | Plain meaning |
|---|---|
| Extra cost up to $40 | The decision owner can approve it. |
| Any option that makes the order lose money | Finance must review it. |
| Any change to the customer promise | Customer Service must confirm the customer agrees. |
| Estimated carbon impact above 12 kg CO2e | The option is not allowed in this exercise. CO2e is the standard unit for comparing greenhouse gas impact. |
Your Task
You are the decision team. Choose one response and be ready to explain it in plain language.
| Selected response | Which choice do you approve? |
| Reason | Why is this the best overall choice for the company? |
| Trade-off | What does the company give up by choosing it? |
| Approval | Who must approve it? |
| Next actions | What must Warehouse, Logistics, Finance or Customer Service do next? |
Resolution
Open after your team has chosen a response
Under the workshop assumptions, the strongest response is:
Recommended responseSplit the order and send the two urgent lines faster.
This protects the customer's urgent need without upgrading the full order.
- The two urgent lines keep the two-day delivery target.
- The remaining lines stay on the original shipping service.
- The added shipping cost is $38.
- The order remains profitable, with $17.42 remaining.
- The carbon estimate is 11.3 kg CO2e, under the 12 kg CO2e cap.
- Finance still investigates the loss-making item line separately.
The decision is not perfect. It is controlled, explainable and assigned to the right teams.
The Point
This is what enterprise AI should help with: not just giving an answer, but helping the company make a decision that uses the right facts, follows the rules and assigns the next work.
Key takeawayA useful AI system does not replace the decision owner. It brings the evidence, options, limits and approvals into one decision case.