Hardware exporter multilingual website and inquiry follow-up: triple the overseas leads
Client Profile
Pain Points
Chinese-only website
Overseas buyers can't read a Chinese site, lowering trust and inquiries.
Scattered inquiries
Inquiries spread across email, forms and social, easily missed.
Limited language skills
Staff avoid small-language inquiries.
Live Demo
How We Built It
Multilingual website
Auto-translate site content into target languages.
Unified inquiry management
Route all-channel inquiries to one place with auto translation.
Automated follow-up
Auto reminders and script generation for follow-ups.
Not betting on one AI — combining the right few
For a real business scenario, we don't lock in a single technical path up front. We evaluate candidate paths on the same benchmark, then design a hybrid so each path does what it's best at.
General LLM API
Public-cloud models such as GPT-4o / Qwen / DeepSeek
- ✓Out-of-the-box, minimal integration cost, cheap to start
- ✕Limited generalization to vertical domains, unstable field-level accuracy, separate compliance design
Industry fine-tuned model
Domain fine-tuning of open-source models on industry data
- ✓Grasps industry semantics, much higher accuracy, private deployment
- ✕Needs labeled data plus ongoing training and upkeep
RAG + rule engine
Retrieval-augmented knowledge plus business rule checks
- ✓Highly targeted, explainable, best latency and cost
- ✕Requires continuous data-loop investment
Fusion, not selection
What we deliver is not a single model but a fused pipeline of primary path + semantic correction + graceful fallback: routine cases are handled by the industry model in seconds; low-confidence fields are re-understood by an LLM; on service anomalies the system degrades to a general API and flags manual review — achieving accuracy, cost, latency and controllability at once.
An explainable, degradable, evolvable AI pipeline
We treat AI engineering as a pipeline, not a black box: every step has clear responsibilities, inputs/outputs and fallbacks. The five-step pipeline plus four-layer architecture below is the technical skeleton.
Ingestion & access layer
Multi-channel access with unified auth, idempotency and masking
AI inference layer
Multi-path inference plus a confidence router switching by features
Business orchestration layer
Connecting results to real business flows with rule checks and closure
Data loop layer
Every online error flows back; models iterate monthly
Tech Stack
Delivery Process
Site diagnosis
Assessed the site and acquisition channels.
Multilingual site
Built multilingual site content.
Inquiry system
Built unified inquiry management.
Trial
Small-scale trial.
Rollout
Full overseas acquisition.
Before vs After
“With the multilingual site, we can now handle small-language inquiries, and overseas clients have grown a lot.”
Where It Fits
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