Module 03 · AI Strategy and Opportunity Discovery

Mapping the AI Opportunity for SwiftLogistics

You are the new AI Product Manager at SwiftLogistics. The CEO wants to use AI to 'fix shipping delays.' You must determine if this is a prediction problem, check if our current data is 'AI Ready,' and present a simple ROI case to the board to avoid the 'Sledgehammer Trap.'

45 minBeginner 3 outcomes 7 steps · 3 checkpoints

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Step-by-step

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Dataset

shipping_logs_v1.csv

20 recent shipping records including order IDs, weather conditions, reported delays, and the 'Ground Truth' delay reason.

Order 106 is missing 'driver_years_exp'. Order 109 is missing the 'Ground Truth' delay reason.

order_id(integer)	weather_condition(string)	driver_years_exp(integer)	is_delayed(string)	delay_reason(string)
101	Clear	5	False	N/A
102	Stormy	2	True	Weather
103	Clear	1	True	Traffic
104	Stormy	12	False	N/A
105	Foggy	4	True	Weather
106	Clear	0	False	N/A
107	Rainy	6	True	Weather
108	Clear	8	False	N/A
109	Stormy	3	True
110	Clear	10	False	N/A
111	Foggy	2	True	Weather
112	Rainy	5	True	Traffic
113	Clear	9	False	N/A
114	Stormy	1	True	Weather
115	Clear	7	False	N/A
116	Rainy	4	True	Traffic
117	Clear	6	False	N/A
118	Foggy	3	True	Weather
119	Clear	11	False	N/A
120	Stormy	5	True	Weather