Industries E-commerce & retail

One product, one voice, every market.

Catalogs, order updates and shopper chat all need the same words for the same things. FluentC keeps product names, sizes and policies consistent across every agent that touches them.

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enFree returns within 30 days.

  • Storefront agentRetours gratuits sous 30 jours.
  • Support chatRetours gratuits sous 30 jours.
  • Email agentRetours gratuits sous 30 jours.
Three agents, one translation. Illustrative example.
Agent flows

Two e-commerce & retail flows, and where FluentC fits.

Example flows, not customer stories. The steps and text are illustrative.

Flow 1

Catalog localization

A product feed is translated overnight and published to every storefront.

  1. Product feed
  2. Nightly batch
  3. FluentC, JSON in and out
  4. Storefront
  5. Search index

Each agent on its own

Each export re-translates everything, titles drift between runs, and markup breaks on the way back.

With FluentC in the loop

  • JSON and HTML come back in the same shape, so nothing needs reassembling.
  • Unchanged rows return from memory, so a nightly run only translates what changed.
  • Up to 50,000 rows per request.
Flow 2

Shopper support agent

Shoppers ask in their language. The agent looks up the order and answers in kind.

  1. Shopper question
  2. Support agent
  3. Order lookup
  4. FluentC, both ways
  5. Answer

Each agent on its own

The chat, email and SMS agents each word an order update differently.

With FluentC in the loop

  • Order-status wording is identical across chat, email and SMS agents.
  • Answers arrive in the shopper's language inside the same request.
  • Detect the language first when you don't know it.
Running several agents?

The same words, from every agent.

When each agent translates for itself, the same sentence turns up in several versions. With FluentC in the loop they all return one translation, whichever model is behind them.

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Related reading

Worth a read.

All articles →
Guides2 min read

Batch or real-time? Choosing a mode

Every FluentC request is either real-time or batch. A short guide to which fits which job, how the plans map to modes, and how to poll a batch job without waiting forever.

Use cases2 min read

Giving a support agent a second language

Your support agent works in English. Your customers don't always write in it. How to add detection and translation around the agent, in about thirty lines, without changing the agent.

Consistency4 min read

Ten agents, one translation

When every agent translates for itself, the same sentence comes out ten ways. Here is why that happens, what it costs, and how to make every agent return identical wording.

Other industries

See how it fits elsewhere.

All industries →
Healthcare
Financial services
Travel & tourism
Technology & software
Legal
Manufacturing
Automotive
Government & public sector
Non-profit & NGO

Looking to translate a website instead? FluentC for websites →

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