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AI Agent Buddies untuk wawasan & riset pelanggan

3 AI Agent Buddies aktif (Basket Affinity Analyst, Customer Lifetime Value Model, Style Preference Profiler) dan 5 di roadmap: apa fungsi masing-masing, data yang dibutuhkan, dan pertanyaan yang bisa dijawabnya.

2 Nov 2026 · 2 menit baca

3 AI Agent Buddies yang bisa Anda aktifkan hari ini

Basket Affinity Analyst

Menemukan kategori mana yang sering dibeli bersamaan dan menyarankan bundel, penempatan produk berdekatan, serta peluang cross-sell.

Coba demo live →

Untuk siapa: Tim Anda (konsol, API)
Data yang dibutuhkan: Order lines, Products
Tools yang digunakan: SQL read-only atas data retail Anda (di-sandbox per workspace)

Contoh pertanyaan yang bisa Anda ajukan:

  • "Kategori mana yang paling sering dibeli bersamaan?"
  • "Apa yang biasanya dibeli pelanggan bersama tas tangan?"
  • "Sarankan 3 bundel dari data keranjang belanja"

Customer Lifetime Value Model

Memperkirakan nilai pelanggan per tier dan per kota dari riwayat pesanan untuk memandu belanja retensi dan akuisisi.

Coba demo live →

Untuk siapa: Tim Anda (konsol, API)
Data yang dibutuhkan: Customers, Orders, Order lines
Tools yang digunakan: SQL read-only atas data retail Anda (di-sandbox per workspace)

Contoh pertanyaan yang bisa Anda ajukan:

  • "Berapa rata-rata nilai pelanggan per tier?"
  • "Kota mana yang memiliki pelanggan paling bernilai?"
  • "Berapa lebih banyak anggota Club Gold berbelanja?"

Style Preference Profiler

Memetakan klaster gaya pelanggan dari pembelian berdasarkan warna, kategori, dan harga untuk memandu keputusan penataan produk.

Coba demo live →

Untuk siapa: Tim Anda (konsol, API)
Data yang dibutuhkan: Customers, Orders, Order lines, Products
Tools yang digunakan: SQL read-only atas data retail Anda (di-sandbox per workspace)

Contoh pertanyaan yang bisa Anda ajukan:

  • "Ke dalam klaster gaya apa saja pelanggan kami terbagi?"
  • "Warna favorit per tier"
  • "Apakah anggota Club Gold membeli produk dengan harga lebih tinggi?"

Segera hadir

  • Footwear Fit Data Analyst: Menganalisis retur terkait ukuran per model dan ukuran sepatu untuk meningkatkan saran ukuran dan pembelian ke depan.
  • Survey Insight Summariser: Meringkas jawaban survei teks terbuka menjadi tema, sentimen, dan kutipan verbatim untuk setiap audiens.
  • Net Promoter Driver Analysis: Menghubungkan skor NPS dengan perjalanan pelanggan, toko, dan produk untuk menunjukkan apa yang mendorong promoter dan detractor.
  • Shopper Mission Classifier: Mengelompokkan kunjungan belanja ke dalam misi seperti top-up, belanja besar, atau hadiah untuk menyesuaikan ragam produk dan tata letak.
  • Conversational Survey Agent: Menjalankan survei singkat berbasis chat dengan pelanggan dan menyesuaikan pertanyaan lanjutan sesuai jawaban mereka.

Cara mengaktifkannya

  1. Muat data yang dibutuhkan setiap agent (unggah, API, atau—segera—koneksi langsung ke platform e-commerce Anda).
  2. Buka Agent catalog di konsol ServiceBuddy: agent yang datanya sudah tersedia akan tampil sebagai siap.
  3. Instal, tambahkan instruksi Anda sendiri, dan uji di Playground.

#customer insight#ai agents

Coba di katalog Anda sendiri. Jelajahi agen

Segera hadir: Wawasan & riset pelanggan

🔍 Segera hadir

Wawasan & riset pelanggan

Footwear Fit Data Analyst

Analyses fit-related returns by shoe model and size to improve size advice and future buys.

Untuk tim Anda
Dalam roadmap
🔍 Segera hadir

Wawasan & riset pelanggan

Survey Insight Summariser

Summarises open-text survey responses into themes, sentiment and verbatim quotes for each audience.

Untuk tim Anda
Dalam roadmap
🔍 Segera hadir

Wawasan & riset pelanggan

Net Promoter Driver Analysis

Links NPS scores to journeys, stores and products to show what drives promoters and detractors.

Untuk tim Anda
Dalam roadmap
🔍 Segera hadir

Wawasan & riset pelanggan

Conversational Survey Agent

Runs short chat-based surveys with customers and adapts follow-up questions to their answers.

Untuk pelanggan
Dalam roadmap

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