{"id":956,"date":"2025-06-01T23:37:20","date_gmt":"2025-06-01T20:37:20","guid":{"rendered":"https:\/\/www.hardlexgroup.com.tr\/?p=956"},"modified":"2025-06-01T23:40:39","modified_gmt":"2025-06-01T20:40:39","slug":"yapay-zeka-ile-satislari-artirmanin-7-yolu","status":"publish","type":"post","link":"https:\/\/www.hardlexgroup.com.tr\/tr\/2025\/06\/01\/yapay-zeka-ile-satislari-artirmanin-7-yolu\/","title":{"rendered":"Yapay Zeka ile Sat\u0131\u015flar\u0131 Art\u0131rman\u0131n 7 Yolu (2025 Rehberi)"},"content":{"rendered":"
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Yapay Zeka ile Sat\u0131\u015flar\u0131 Art\u0131rman\u0131n 7 Yolu (2025 Rehberi)<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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1.Neden Yapay Zek\u00e2?<\/span><\/h2>

2025\u2019e geldi\u011fimizde k\u00fcresel B2C e-ticaret hacmi 7,4 trilyon $<\/strong> seviyesini, yapay zek\u00e2 yaz\u0131l\u0131m pazar hacmi ise 305 milyar $<\/strong> band\u0131n\u0131 a\u015fm\u0131\u015f durumda. McKinsey verilerine g\u00f6re AI kullan\u0131m\u0131n\u0131 \u00f6l\u00e7ekleyen \u015firketler gelirlerinde ortalama %20<\/strong> art\u0131\u015f ve maliyetlerinde %15<\/strong> azalma sa\u011fl\u0131yor. Bu veriler, \u201cyapay zeka ile sat\u0131\u015flar\u0131 art\u0131rmak\u201d ifadesinin art\u0131k sadece moda bir deyim olmad\u0131\u011f\u0131n\u0131; rekabet i\u00e7in kritik bir ko\u015ful h\u00e2line geldi\u011fini g\u00f6steriyor.<\/span><\/p>

2. AI ile Sat\u0131\u015f B\u00fcy\u00fctmenin Temel Mant\u0131\u011f\u0131<\/span><\/h2>

Yapay zek\u00e2; veri analiti\u011fi, makine \u00f6\u011frenimi (ML), do\u011fal dil i\u015fleme (NLP) ve b\u00fcy\u00fck dil modelleri (LLM) gibi teknolojileri kullanarak insan kararlar\u0131n\u0131 h\u0131zland\u0131r\u0131r, ki\u015fiselle\u015ftirir ve \u00f6l\u00e7ekler<\/strong>. Sat\u0131\u015f hunisinin her a\u015famas\u0131nda (fark\u0131ndal\u0131k \u2192 de\u011ferlendirme \u2192 sat\u0131n alma \u2192 sadakat) AI destekli mikro-aksiyonlar, geleneksel y\u00f6ntemlerin eri\u015fmedi\u011fi k\u00e2rl\u0131l\u0131k potansiyeli yarat\u0131r:<\/span><\/p>

Huni A\u015famas\u0131<\/span><\/th>AI Katk\u0131s\u0131<\/span><\/th>\u00d6l\u00e7\u00fclebilir Etki<\/span><\/th><\/tr><\/thead>
Fark\u0131ndal\u0131k<\/span><\/td>Hedefli reklam optimizasyonu<\/span><\/td>Daha d\u00fc\u015f\u00fck CPM<\/span><\/td><\/tr>
De\u011ferlendirme<\/span><\/td>Ki\u015fiselle\u015ftirme, skor<\/span><\/td>Daha y\u00fcksek d\u00f6n\u00fc\u015f\u00fcm<\/span><\/td><\/tr>
Sat\u0131n Alma<\/span><\/td>Dinamik fiyat, \u00e7apraz sat\u0131\u015f<\/span><\/td>Sepet de\u011feri +%25<\/span><\/td><\/tr>
Sadakat<\/span><\/td>Churn tahmini, \u00f6neri<\/span><\/td>Tekrar al\u0131m +%18<\/span><\/td><\/tr><\/tbody><\/table>
\u00a0<\/div><\/div><\/div><\/div>

3. Sat\u0131\u015flar\u0131 Art\u0131ran 7 Yapay Zek\u00e2 Y\u00f6ntemi<\/span><\/h2>

3.1 AI Destekli Lead Generation & Lead Scoring<\/span><\/h3>

Sorun:<\/strong> Pazarlama ekipleri \u00fcretti\u011fi potansiyel m\u00fc\u015fterilerin (lead) kalitesini sat\u0131\u015f ekibine kan\u0131tlamakta zorlan\u0131r.<\/span>
\u00c7\u00f6z\u00fcm:<\/strong> ML modelleri, CRM verileriyle beslenen regresyon\/gradient boosting algoritmalar\u0131yla \u201csat\u0131n alma olas\u0131l\u0131\u011f\u0131\u201d skorlar\u0131 \u00fcretir.<\/span><\/p>

  1. Veri Toplama:<\/strong> Form doldurma zaman\u0131, sekt\u00f6r, web davran\u0131\u015f\u0131, e-posta etkile\u015fimi.<\/span><\/p><\/li>

  2. \u00d6znitelik M\u00fchendisli\u011fi:<\/strong> \u201c\u0130lk etkile\u015fimden teklif iste\u011fine dek ge\u00e7en s\u00fcre\u201d, \u201cdemo sonras\u0131 cevap say\u0131s\u0131\u201d gibi sinyaller.<\/span><\/p><\/li>

  3. Model Se\u00e7imi:<\/strong> XGBoost veya CatBoost y\u00fcksek do\u011fruluk verir; LLM tabanl\u0131 metin analizi \u201ca\u011fr\u0131 noktalar\u0131n\u0131\u201d yakalar.<\/span><\/p><\/li>

  4. Uygulama:<\/strong> Skoru 75\/100\u2019\u00fcn \u00fczerindeki lead\u2019ler sat\u0131\u015f temsilcisine anl\u0131k Slack bildirimiyle atan\u0131r.<\/span><\/p><\/li>

  5. Sonu\u00e7:<\/strong> Sat\u0131\u015f s\u00fcresi %30 k\u0131sal\u0131rken kapama oran\u0131 %18 artar.<\/span><\/p><\/li><\/ol>

    \u0130pucu:<\/strong> K\u00fc\u00e7\u00fck veri setiniz varsa k-en yak\u0131n kom\u015fu (k-NN) veya lojistik regresyon ile ba\u015flay\u0131n; model karma\u015f\u0131kl\u0131\u011f\u0131n\u0131 ad\u0131m ad\u0131m b\u00fcy\u00fct\u00fcn.<\/span><\/p><\/blockquote>

    3.2 Ki\u015fiselle\u015ftirilmi\u015f \u00dcr\u00fcn ve \u0130\u00e7erik \u00d6nerileri<\/span><\/h3>

    Netflix ve Amazon algoritmalar\u0131n\u0131n e-ticaret uyarlamas\u0131n\u0131 d\u00fc\u015f\u00fcn\u00fcn. \u0130\u015fleyi\u015f:<\/strong><\/span><\/p>

    • Kullan\u0131c\u0131-tarih (user-item) etkile\u015fim matrisinden embedding<\/strong>\u2019ler \u00e7\u0131kar\u0131l\u0131r (Word2Vec veya LightFM).<\/span><\/p><\/li>

    • Varyasyon:<\/strong> G\u00f6r\u00fcnt\u00fcl\u00fc \u00fcr\u00fcn sitelerinde CLIP benzeri g\u00f6rsel-metin modelleri benzerlik puan\u0131n\u0131 art\u0131r\u0131r.<\/span><\/p><\/li>

    • Ger\u00e7ek Zamanl\u0131 API:<\/strong> Kullan\u0131c\u0131 \u201cayakkab\u0131\u201d filtreledi\u011finde 200 ms i\u00e7inde \u201csana \u00f6zel\u201d \u00f6neri sunulur.<\/span><\/p><\/li>

    • Sat\u0131\u015f Etkisi:<\/strong> Sepet ortalamas\u0131 +%25, hemen \u00e7\u0131kma oran\u0131 \u2013%12.<\/span><\/p><\/li><\/ul>

      Teknik Detay:<\/strong> GPU maliyetini d\u00fc\u015f\u00fcrmek i\u00e7in ANN k\u00fct\u00fcphanelerinden (FAISS) vekt\u00f6r arama kullan\u0131n.<\/span><\/p><\/blockquote>

      3.3 Dinamik Fiyat Optimizasyonu<\/span><\/h3>

      Dinamik fiyat<\/strong> (dynamic pricing) algoritmalar\u0131; talep elastikiyeti, rakip fiyat, stok seviyesi ve sezonluk trendlere bakarak \u201cmaksimum k\u00e2r\u201d hedefli fiyat belirler.<\/span><\/p>

      1. Zaman Serisi Tahmini:<\/strong> Prophet\/ARIMA ile talep paternini \u00f6ng\u00f6r.<\/span><\/p><\/li>

      2. Esneklik Hesab\u0131:<\/strong> Ge\u00e7mi\u015f sat\u0131\u015fa g\u00f6re fiyat de\u011fi\u015fikli\u011finin talebe etkisini \u00f6l\u00e7.<\/span><\/p><\/li>

      3. Reinforcement Learning (RL):<\/strong> Agent, marj \u00d7 talep denemeleriyle optimum fiyat band\u0131n\u0131 bulur.<\/span><\/p><\/li>

      4. Uygulama:<\/strong> Fiyat API\u2019si 30 dakikada bir g\u00fcncellenir.<\/span><\/p><\/li>

      5. K\u00e2r Art\u0131\u015f\u0131:<\/strong> Moda perakendecisinde br\u00fct marj +%12; elektronik kategorisinde stok devir h\u0131z\u0131 \u00d7 1,4.<\/span><\/p><\/li><\/ol>

        3.4 Tahmini M\u00fc\u015fteri Kay\u0131p (Churn) Analizi<\/span><\/h3>

        Sadakat, yeni m\u00fc\u015fteri kazanmaktan 5 kat ucuza gelir. Churn modeli<\/strong>:<\/span><\/p>

        Ad\u0131m<\/span><\/th>Detay<\/span><\/th><\/tr><\/thead>
        Veri<\/span><\/td>Sat\u0131\u015f, destek \u00e7a\u011fr\u0131s\u0131, NPS, iade, kullan\u0131m s\u0131kl\u0131\u011f\u0131<\/span><\/td><\/tr>
        Model<\/span><\/td>Random Forest, LSTM (zaman serisi)<\/span><\/td><\/tr>
        \u00c7\u0131kt\u0131<\/span><\/td>\u201cChurn risk skoru\u201d (0-1)<\/span><\/td><\/tr>
        Eylem<\/span><\/td>Risk > 0.7 m\u00fc\u015fteriye ki\u015fisel kupon + CRM \u00e7a\u011fr\u0131s\u0131<\/span><\/td><\/tr><\/tbody><\/table>
        \u00a0<\/div><\/div><\/div><\/div>

        Sonu\u00e7:<\/strong> SaaS firmas\u0131nda abonelik iptalleri %22 d\u00fc\u015fer.<\/span><\/p>

        3.5 AI Destekli Chatbot & Sanal Asistan<\/span><\/h3>

        Yapay zek\u00e2 destekli chatbotlar sat\u0131\u015f hunisinin hem \u00fcst hem alt k\u0131sm\u0131nda rol oynar:<\/span><\/p>

        • Lead Toplama:<\/strong> Ziyaret\u00e7iden e-posta + tercih sorular\u0131n\u0131 toplar.<\/span><\/p><\/li>

        • \u00dcr\u00fcn Ke\u015ffi:<\/strong> LLM, do\u011fal dilde \u201cbeyaz, 13 in\u00e7 hafif laptop\u201d sorgusunu anlar ve SKU \u00f6nerir.<\/span><\/p><\/li>

        • Sat\u0131n Alma Sonras\u0131:<\/strong> Kargo takibi, iade politikas\u0131.<\/span><\/p><\/li>

        • Platformlar:<\/strong> Web, WhatsApp, Instagram DM.<\/span><\/p><\/li><\/ul>

          \u00d6l\u00e7\u00fclen Etki:<\/strong> Hardlex Group verilerine g\u00f6re chatbot etkile\u015fimi d\u00f6n\u00fc\u015f\u00fcm oran\u0131n\u0131 %15<\/strong> y\u00fckseltiyor.<\/span><\/p>

          3.6 Makine \u00d6\u011frenimi ile Sat\u0131\u015f Tahmini<\/span><\/h3>

          Sat\u0131\u015f liderleri, yanl\u0131\u015f tahmin nedeniyle stok-nakit ak\u0131\u015f\u0131 sorunlar\u0131 ya\u015f\u0131yor. AI s\u00fcre\u00e7 ak\u0131\u015f\u0131:<\/strong><\/span><\/p>

          1. Girdi: Ge\u00e7mi\u015f sat\u0131\u015f, kampanya, hava durumu, sosyal medya trendi.<\/span><\/p><\/li>

          2. Model: Gradient Boosting, Prophet + exogenous regressors.<\/span><\/p><\/li>

          3. \u00c7\u0131kt\u0131: Haftal\u0131k\/ayl\u0131k SKU bazl\u0131 tahmin.<\/span><\/p><\/li>

          4. Dash-board: Tableau veya Power BI; hatal\u0131 tahminlerde alarm e-postas\u0131.<\/span><\/p><\/li><\/ol>

            Fayda:<\/strong> Sto\u011fu %10 azalt\u0131rken \u201cout-of-stock\u201d vakalar\u0131 %35 d\u00fc\u015fer.<\/span><\/p>

            3.7 G\u00f6rsel ve Sesli AI Sat\u0131\u015f Ara\u00e7lar\u0131<\/span><\/h3>

            • Visual AI (G\u00f6rsel Arama):<\/strong> Kullan\u0131c\u0131 \u00fcr\u00fcn\u00fc kamerayla tarar, benzer \u00fcr\u00fcn g\u00f6sterilir.<\/span><\/p><\/li>

            • Voice Commerce:<\/strong> Sesli komut ile sipari\u015f; NLP intent + TTS geri bildirim.<\/span><\/p><\/li>

            • AR Deneyimi:<\/strong> Mobilya-dekor, kozmetik; sat\u0131\u015f sonras\u0131 iade oran\u0131 \u2013%8.<\/span><\/p><\/li><\/ul>

              Bu deneyimler marka alg\u0131s\u0131n\u0131 \u201cyenilik\u00e7i\u201d konumuna ta\u015f\u0131r ve sosyal medyada viral bir amplifikasyon yarat\u0131r.<\/span><\/p>

              4. Yapay Zek\u00e2 Projesi \u0130\u00e7in Uygulama Yol Haritas\u0131<\/span><\/h2>

              1. Hedef & KPI Tan\u0131mla<\/strong> \u2192 Gelir +%15 mi, i\u015f\u00e7i maliyeti \u2013%10 mu?<\/span><\/p><\/li>

              2. Veri Envanteri<\/strong> \u00e7\u0131kar \u2192 CRM, POS, Google Analytics, sosyal medya.<\/span><\/p><\/li>

              3. Tak\u0131m & Stack Karar\u0131<\/strong> \u2192 Data Scientist + M\u00fchendis + Sat\u0131\u015f ekipleri; Python, TensorFlow, PyTorch.<\/span><\/p><\/li>

              4. MVP<\/strong> (\u2264 12 hafta) \u2192 Tek use-case (chatbot veya lead scoring).<\/span><\/p><\/li>

              5. Pilot & A\/B Test<\/strong> \u2192 Kontrol vs AI grubunda d\u00f6n\u00fc\u015f\u00fcm fark\u0131 \u00f6l\u00e7.<\/span><\/p><\/li>

              6. Tam \u00d6l\u00e7ek<\/strong> \u2192 CI\/CD, MLOps, otomatik model retraining.<\/span><\/p><\/li><\/ol>

                Hardlex Group<\/strong>, OpenAI\/Gemini tabanl\u0131 mod\u00fcler mimarisiyle bu yol haritas\u0131n\u0131n her ad\u0131m\u0131nda dan\u0131\u015fmanl\u0131k ve altyap\u0131 sunar.<\/span><\/p><\/blockquote>

                5. Zorluklar ve Etik G\u00f6r\u00fc\u015fler<\/span><\/h2>

                • Veri Gizlili\u011fi & KVKK:<\/strong> Hassas veriyi anonimle\u015ftirin, izin mekanizmas\u0131 ekleyin.<\/span><\/p><\/li>

                • Algoritmik \u00d6nyarg\u0131:<\/strong> E\u011fitim setini denetleyin; cinsiyet, b\u00f6lge, gelir sapmas\u0131 var m\u0131?<\/span><\/p><\/li>

                • \u015eeffafl\u0131k:<\/strong> Kullan\u0131c\u0131ya \u201cAI \u00f6nerisi\u201d rozeti g\u00f6sterin.<\/span><\/p><\/li>

                • \u00c7al\u0131\u015fan Direnci:<\/strong> E\u011fitim ve rolleri d\u00f6n\u00fc\u015ft\u00fcrmeye odaklan\u0131n.<\/span><\/p><\/li><\/ul>

                  6. 2025 ve \u00d6tesinde Trendler<\/span><\/h2>

                  1. \u00c7oklu LLM Orkestrasyonu<\/strong> (model-router); soruya g\u00f6re Claude, GPT-4o, Gemini Pro se\u00e7imi.<\/span><\/p><\/li>

                  2. On-device AI<\/strong> ile gizlilik odakl\u0131, d\u00fc\u015f\u00fck gecikmeli \u00f6neriler.<\/span><\/p><\/li>

                  3. AutoML-GenAI Birle\u015fimi<\/strong> \u2192 Teknik ekip bulunmasa bile model \u00fcretimi.<\/span><\/p><\/li>

                  4. Ye\u015fil AI:<\/strong> Enerji verimli quantization, d\u00fc\u015f\u00fck karbon ayak izi.<\/span><\/p><\/li><\/ol>

                    7. Vaka Analizi: Moda E-Ticaretinde AI D\u00f6n\u00fc\u015f\u00fcm\u00fc<\/span><\/h2>

                    Bir giyim markas\u0131, Hardlex Group ile \u015fu \u00e7\u00f6z\u00fcmleri uygulad\u0131:<\/span><\/p>

                    • Vision-AI<\/strong> tabanl\u0131 g\u00f6rsel arama mod\u00fcl\u00fc.<\/span><\/p><\/li>

                    • Dinamik fiyat<\/strong> RL algoritmas\u0131.<\/span><\/p><\/li>

                    • Chatbot<\/strong> ile 5 dilde destek.<\/span><\/p><\/li><\/ul>

                      3 ay Sonu\u00e7lar\u0131:<\/strong><\/span><\/p>

                      KPI<\/span><\/th>\u00d6nce<\/span><\/th>Sonra<\/span><\/th>De\u011fi\u015fim<\/span><\/th><\/tr><\/thead>
                      D\u00f6n\u00fc\u015f\u00fcm Oran\u0131<\/span><\/td>2,4 %<\/span><\/td>3,1 %<\/span><\/td>+29 %<\/span><\/td><\/tr>
                      Sepet Ortalamas\u0131<\/span><\/td>620 \u20ba<\/span><\/td>790 \u20ba<\/span><\/td>+27 %<\/span><\/td><\/tr>
                      Destek Maliyeti<\/span><\/td>1,0 \u20ba\/m\u00fc\u015fteri<\/span><\/td>0,43 \u20ba<\/span><\/td>\u201357 %<\/span><\/td><\/tr><\/tbody><\/table>
                      \u00a0<\/div><\/div><\/div><\/div>

                      8. S\u0131k Sorulan Sorular (FAQ)<\/span><\/h2>
                      Soru<\/span><\/th>K\u0131sa Yan\u0131t<\/span><\/th><\/tr><\/thead>
                      Yapay zek\u00e2 projeleri pahal\u0131 m\u0131?<\/span><\/td>Bulut tabanl\u0131 API\u2019lerle k\u00fc\u00e7\u00fck b\u00fct\u00e7elerle PoC yap\u0131labilir.<\/span><\/td><\/tr>
                      K\u00fc\u00e7\u00fck i\u015fletme de AI kullanabilir mi?<\/span><\/td>\u00d6neri eklentisi, basit chatbot gibi SaaS ara\u00e7larla ba\u015flaman\u0131z yeterli.<\/span><\/td><\/tr>
                      AI stoklar\u0131 bitirir mi?<\/span><\/td>Do\u011fru tahmin stok fazlas\u0131n\u0131 azalt\u0131r, \u201cout-of-stock\u201du d\u00fc\u015f\u00fcr\u00fcr.<\/span><\/td><\/tr>
                      Veri s\u0131z\u0131nt\u0131s\u0131 riski var m\u0131?<\/span><\/td>On-prem LLM veya \u015fifreli veri transferiyle risk y\u00f6netilebilir.<\/span><\/td><\/tr>
                      \u00c7al\u0131\u015fanlar i\u015fini kaybeder mi?<\/span><\/td>Rutin i\u015fler otomatikle\u015fir; sat\u0131\u015f ekipleri daha stratejik g\u00f6revlere kayar.<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

                      Yapay Zeka ile Sat\u0131\u015flar\u0131 Art\u0131rman\u0131n 7 Yolu (2025 Rehberi) 1.Neden Yapay Zek\u00e2? 2025\u2019e geldi\u011fimizde k\u00fcresel B2C e-ticaret hacmi 7,4 trilyon $ seviyesini, yapay zek\u00e2 yaz\u0131l\u0131m pazar hacmi ise 305 milyar $ band\u0131n\u0131 a\u015fm\u0131\u015f durumda. McKinsey verilerine g\u00f6re AI kullan\u0131m\u0131n\u0131 \u00f6l\u00e7ekleyen \u015firketler gelirlerinde ortalama %20 art\u0131\u015f ve maliyetlerinde %15 azalma sa\u011fl\u0131yor. […]<\/p>","protected":false},"author":1,"featured_media":545,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-956","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"yoast_head":"\nYapay Zeka ile Sat\u0131\u015flar\u0131 Art\u0131rman\u0131n 7 Yolu (2025)<\/title>\n<meta name=\"description\" content=\"Yapay zek\u00e2 kullanarak sat\u0131\u015flar\u0131 art\u0131rman\u0131n 7 kan\u0131tlanm\u0131\u015f yolu: ki\u015fiselle\u015ftirme, dinamik fiyat, tahmin, chatbot ve daha fazlas\u0131. 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