SUN’IY INTELLEKT ASOSIDAGI TALABNI PROGNOZLASHNING CHAKANA MARKETING INNOVATSIYASINI TAKOMILLASHTIRISHDAGI ROLI
DOI:
https://doi.org/10.5281/zenodo.18207497Keywords:
AI quvvatlangan talab prognozi, chakana savdo marketingi, marketing innovatsiyalari, vaqt qatorlari tahlili, Analitik Ierarxiya Jarayoni (AHP), raqamli tayyorgarlik, personalizatsiya, segmentatsiya, prognoz aniqligiAbstract
Chakana savdo bozorlari iste’molchilarning xulq-atvori va texnologik yangilanishlardagi transformatsiyalar
ta’sirida tezkor va dinamik o‘zgarishlarga duch kelmoqda. Ushbu sharoitda talab prognozlari menejment qarorlarini qabul
qilishda muhim analitik asos bo‘lib xizmat qiladi. Mazkur tadqiqotda sun’iy intellekt (AI) quvvatlangan talab prognozlash
yondashuvining, xususan vaqt qatorlari tahlili va Analitik Ierarxiya Jarayoni (AHP) integratsiyasi orqali, chakana savdo
marketingidagi innovatsiyalarga ta’siri raqamli transformatsiya kontekstida o‘rganiladi. Tadqiqotning asosiy maqsadi ilg‘or
prognozlash usullarining personalizatsiya, segmentatsiya va mijozlarni jalb qilish strategiyalariga qo‘shayotgan hissasini
statistik modellashtirish, juft solishtirish va ko‘p mezonli qaror qabul qilish usullari asosida baholashdan iborat. Natijalar
prognoz aniqligi va marketing innovatsiyalari samaradorligi raqamli tayyorgarlik darajasi bilan chambarchas bog‘liqligini
ko‘rsatadi.
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