AI katika Maswali ya Kupanga Mahitaji ya Mali

Majibu na maelezo huonekana unapojibu maswali.

1. Ni nini lengo kuu la upangaji wa mahitaji ya AI?
   • Ili kutabiri ni kiasi gani cha kila bidhaa kitakachouzwa ili hisa inayofaa iwe mahali pazuri
   • Kubuni ufungaji wa bidhaa
   • Kuajiri wafanyikazi zaidi wa ghala moja kwa moja
   • Kuweka mishahara ya wafanyikazi
2. Kwa nini utabiri wa uwezekano (usambazaji, sio nambari moja) ni muhimu?
   • Wanafanya ripoti kuonekana ngumu zaidi
   • Huwaruhusu wapangaji kuweka akiba ya usalama dhidi ya kiwango cha huduma inayolengwa
   • Wanaondoa hitaji la hesabu yoyote
   • Wanahakikisha mahitaji hayatabadilika kamwe
3. Je, ni matokeo gani mawili ya gharama kubwa ambayo upangaji wa mahitaji hujaribu kuepuka?
   • Bei ya juu na bei ya chini
   • Usafirishaji wa haraka na usafirishaji wa polepole
   • Malipo na hisa nyingi
   • Bidhaa mpya na bidhaa za zamani
4. Ni faida gani ya mifano ya utabiri wa 'kimataifa'?
   • Wanafanya kazi tu kwa bidhaa moja kwa wakati mmoja
   • Hazihitaji data hata kidogo
   • Wanafanya kazi katika nchi moja tu
   • Wanatabiri vitu vingi vinavyohusiana kwa pamoja, wakijifunza mifumo iliyoshirikiwa
5. Ni ishara gani ya nje ambayo ingesaidia zaidi kutabiri mahitaji ya mboga yanayoweza kuharibika?
   • Hali ya hewa na data ya likizo
   • Siku ya kuzaliwa ya Mkurugenzi Mtendaji
   • Rangi ya rangi ya ghala
   • Idadi ya wachapishaji wa ofisi
6. What is a potential benefit of a pretrained time-series foundation model for demand planning?
   • It guarantees accurate forecasts for every new product
   • It can be adapted or used zero-shot on time series beyond those seen in a particular downstream task, subject to evaluation
   • It eliminates the need to evaluate forecasts on business data
   • It replaces inventory constraints and replenishment policies
7. Which additional signals can demand planners combine with historical sales?
   • Only the warehouse’s wall color
   • The brand of the company’s laptops
   • Promotions, prices, web activity, and relevant weather or holiday information
   • The number of employees in the finance department
8. How can a local demand forecast help an e-commerce company decide where to place fast-moving stock?
   • It guarantees every order will ship from the nearest warehouse
   • It removes the need to track inventory levels
   • It converts warehouse coordinates into product prices
   • It can guide allocation to regional warehouses serving areas with higher forecast demand