DIY or Fully Managed Export AI: It Comes Down to Who Owns Ongoing Maintenance

After export AI goes live, prices, stock and new product data keep changing. Before choosing DIY or fully managed, decide who maintains it over time.

DIY Suits Teams With a Long-Term Owner

The team has to choose models, connect channels, design answers, update the knowledge base and run tests. It can be considered when the product line is small and stable and someone is dedicated to maintenance; don’t count only the initial setup cost.

Fully Managed Doesn’t Mean the Company Stays Out of It

The source describes Singoo helping with setup, catalog import and multilingual replies, reviewing real conversations and fixing errors with added data; the company still has to provide accurate information and review. When the catalog is complex, changes often, or you lack operations staff, evaluate fully managed DeepSales.

Clarify Service Responsibilities When Signing

Specify data updates, review frequency, error handling and scope of delivery. “Training” on your data here should not be read as fine-tuning a dedicated model for each customer; the source says it works through data retrieval. This article does not assume a fixed delivery time or fees.

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FAQ

Does DIY only need one deployment?

No, it needs ongoing maintenance.

Does fully managed mean no data from us?

The company still has to provide and confirm it.

Is training the same as fine-tuning a model?

Not here; it is mainly data retrieval configuration.

Can a fixed delivery time be guaranteed?

The source does not publish a specific number of days.

How do I compare total cost?

Count setup, maintenance and internal review resources together.