Sku Architect - AI Catalog Syncer Model
Catalog Syncer
by Neurometric📄 Document Intelligence
SKU-Architect is a task-specific model that extracts product attributes (color, size, material) from supplier catalogs.
Sku Architect is designed for Document Intelligence workflows where speed, consistency, and control matter more than generic creativity. Instead of relying on a broad model to guess intent each time, this task-specific SLM is optimized for catalog syncer and predictable output quality. That makes it easier to adopt in production pipelines where teams need reliable formatting, lower latency, and reduced hallucination risk.
Most teams integrate CRM records, internal docs, and workflow tools to automate repetitive language-heavy tasks with predictable outputs. This makes deployment practical for sales ops, customer success, legal, and operations teams that need answers grounded in their own data. Because the model is small and focused, teams can run it with efficient infrastructure while still meeting quality targets for the use case.
Compared with general-purpose models, focused SLMs like this one typically deliver better precision for narrow tasks, lower cost per request, and easier governance. You can start with the free tier, test the model against your business data, and scale usage through Neurometric APIs or ClawPack workflows when performance meets your benchmark.
Model: Qwen/Qwen3-4B-Instruct-2507
This task-specific SLM uses Qwen/Qwen3-4B-Instruct-2507 with a specialized system prompt. The model weights are identical to the base Qwen model — the task specialization comes from the system prompt and has been validated through our testing pipeline. Need better accuracy? We can fine-tune the model on your data for your specific use case.
Quickstart
Copy-paste code to use SKU-Architect in your project
from openai import OpenAI
client = OpenAI(
base_url="https://api.neurometric.ai/v1",
api_key="YOUR_API_KEY"
)
resp = client.chat.completions.create(
model="neurometric/sku-architect",
messages=[
{"role": "user",
"content": "{\n \"supplier\": \"Summit Outdoor Supply\",\n \"catalog_text\": [\n \"Product: TrailShell Jacket. Colors: Forest Green, Charcoal. Sizes: Men's M-XXL. Shell: 100% recycled nylon ripstop; Lining: polyest..."}
]
)
print(resp.choices[0].message.content)Test Results
Example Input
Supplier: Summit Outdoor Supply Catalog Text: - Product: TrailShell Jacket. Colors: Forest Green, Charcoal. Sizes: Men's M-XXL. Shell: 100% recycled nylon ripstop; Lining: polyester mesh. - TrailShell Jacket (TSJ-440) - choose Forest Green or Charcoal. Size options: M, L, XL, XXL. Material: recycled nylon ripstop with polyester mesh lining.
Expected Output
Attributes:
Size: - M
L
XL
XXL
Color: - Forest Green
Charcoal
Material: 100% recycled nylon ripstop; polyester mesh lining
Actual Model Response
Color: Forest Green, Charcoal Size: Men's M-XXL Material: 100% recycled nylon ripstop shell; polyester mesh lining
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Capabilities
Related models
Frequently asked questions
Does Sku Architect work with CRM systems?
Yes. Sku Architect is built to work with CRM systems, internal docs, and CSV/JSON pipelines. Most teams connect existing APIs or scheduled exports and map records into prompt-ready JSON.
What data format does this model accept?
You can send plain text or structured JSON. For catalog syncer, teams usually pass normalized records with field names, context notes, and output constraints.
Why use a task-specific SLM for catalog syncer?
Task-specific SLMs are tuned for one business outcome, so they are often more consistent and cost-efficient than general models for repetitive production workflows.
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Use via API
FreeView API settings and get a free key. Sign up when you want more keys or billing access.
Need better performance?
We can fine-tune this model on your data for higher accuracy on your specific use case.