quiz bu lëkkale ak tegtal · Diggante Niveau
IA ci quiz buy gëna baaxal chaîne d'approvisionnement
Dañu jàngat waajal laaj bi, gëna xéewale math, siñaal yi bawoo ci biti, seex dijital yi, yaatuwaayu dog-dog bi, ak feedback loop yi.
Laaj 1 de 8
Lan mooy jubluwaay bi gëna mag ci seetlu laaj bi lalu ci IA ci komers boobu?
Xoolaatal laaj bu nekk8 laaj
Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.
- Lan mooy jubluwaay bi gëna mag ci seetlu laaj bi lalu ci IA ci komers boobu?
- Ngir xam ñaata ci produit bu nekk di jaay, fan, ak kañ
- Defar emballage produit bu bees
- Binndal fësal njaay ngir fësal
- Ngir wecci bépp liggéeykat ci depot bi
- Ban xeetu jafe-jafe lañuy faral di wax ci dogal yiñ jël ci wàllu yoon ak invànteer?
- Jafe-jafe xaaj nataal
- Jafe-jafe yi ci gëna mëna jëfandikoo math (lu melni prograam yu am lim yu mat yu wuute)
- Jafe-jafe xàmmee kàddu
- Jafe-jafe xalaat yu bari
- What type of demand output does the cited Zalando replenishment study integrate into inventory optimization?
- A guaranteed exact unit count for every future day
- An unqualified social-media popularity score
- Probabilistic forecasts that represent uncertainty in future demand
- A fixed rule that ignores the forecast distribution
- What does a digital twin represent in a supply-network scenario?
- A guarantee that every sensor is live and synchronized at all times
- A second physical warehouse that automatically executes every decision
- A model that proves a disruption cannot occur
- A virtual representation of a physical system that can be linked with data for modeling or simulation
- What can make an AI-enabled supply chain more resilient during a disruption?
- Visibility, scenario planning, and the ability to adjust decisions as conditions change
- A guarantee that demand will never change
- Removing all human operators
- Using only historical averages
- How should observed supply-chain outcomes be used in a forecast feedback loop?
- Assume every new observation automatically improves the model
- Evaluate forecast errors and consider validated updates using appropriate outcome data
- Retrain continuously without checking data quality or performance
- Treat each forecast as a confirmed future outcome
- Which replenishment policy did the cited e-commerce study extend?
- A proportional-derivative controller for motor speed
- A shortest-path algorithm for vehicle routing
- The (R, s, Q) policy, adding variables for initial replenishment and a policy horizon
- A fixed moving-average demand forecast
- Why combine forecasts with an optimization model?
- They are identical tasks
- Optimization removes all uncertainty
- Forecasting automatically places orders
- A forecast estimates future conditions, while optimization chooses actions under constraints