Industry Pain Points of Cross-border B2B E-commerce
Low efficiency and high cost in overseas merchant reach
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Traditional manual calling relies on a large customer service team.
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High agent recruitment and training costs.
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Daily reach scale limited by working hours and energy.
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Fails to meet massive standardized overseas communication needs.
Severe cross-language business communication barriers
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Global corporate customers have diverse languages and cultural backgrounds.
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Manual services cannot cover all multilingual professional scenarios.
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Common industry term misunderstandings and expression habit mismatches.
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Harms communication effects and platform-merchant trust.
Inaccurate intention screening and high business opportunity loss
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Traditional NLP only supports simple semantic matching.
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Relies on massive corpus maintenance with high costs.
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Fails to identify deep cooperation intentions and entry concerns.
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Frequent misjudgment causes high-value business opportunity loss.

Scenario Case: Instadesk Empowers Alibaba.com with Multilingual Intelligent Voicebot
Project cooperation background
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Alibaba.com is a global leading cross-border B2B e-commerce platform.
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It provides digital foreign trade services for SMEs and boosts Chinese merchants’ globalization.
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It cooperated with Instadesk to solve core overseas reach pain points.
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The cooperation aims to realize intelligent upgrade of cross-border B-end customer reach and service system.
Core solutions of Instadesk’s Multilingual Intelligent Voicebot
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Solution Modules
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Core Capabilities
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Key Effects
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Cross-border Communication
Technical Base
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ASR, TTS, End-to-end voice interaction
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Real-time multilingual dialogue,
Deep intention understanding
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Automatic Calling +
Precise Intention Labeling
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Full-process automatic calling, Real-time information extraction
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Independent business communication,
Multi-dimensional intention grading
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Small-sample Voice Cloning +
Cross-language Adaptation
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Human-like synthetic voice, Professional term adaptation
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Reduced mechanical sense,
Cultural expression matching
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Outstanding technical and project achievements
Achievement Type |
Core Data/Performance |
Industry Value |
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Key Technical Indicators
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Intention recognition:
90%Intention labeling:
92% |
High-precision customer screening
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Operational Efficiency Upgrade
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Automatic task scheduling,
Concurrent calling
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Focus human resources on high-value business opportunities
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Business & Cost Optimization
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Efficiency improvement,
Cost control
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Breakthrough growth of
key business indicators
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Industry Benchmark
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High-quality cooperation clues supply
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Quantifiable, replicable industry model
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