The article explores the potential of advanced technologies for developing competitive intelligence systems in enterprises. The advantages of Attention -LSTM and transfer learning models in predicting customer behavior and forecasting demand for new product s are highlighted. It is shown that machine learning technologies and the FBS -SE methodology play a key role in increasing production efficiency and accelerating decision -making. Digital transformation and green innovations are found 305 to have a positive impact on sustainable development and competitiveness. The research results provide practical recommendations for enhancing the effectiveness of competitive intelligence systems.
| Mualliflar | Tursunxoʻjayev Sardor Jamoliddin oʻgʻli |
|---|---|
| Jurnal | Marketing |
| Nashr sanasi | 2025-07-31 |
| Son | 7 |
| Til | O‘zbek |
| DOI | 10.67668/mj/2025iss7/365 |
DOI: 10.67668/mj/2025iss7/365 · Maqolaning asl sahifasi
competitive intelligence, artificial intelligence, machine learning, transfer learning, Attention -LSTM, digital transformation, FBS -SE methodology, конкурентная разведка, искусственный интеллект, машинное обучение, transfer learning, Attention -LSTM, цифровая трансформация, методология FBS-SE, raqobat razvedkasi, sunʼiy intellekt, mashina oʻrganish, transfer learning, Attention -LSTM, raqamli transformatsiya, FBS -SE metodologiyasi
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