Agentic e-Commerce

Less manual commerce work, on the platform you already run

Migrations, product content, and stack decisions tie up manual effort in every commerce organisation. We package commerce practice we have delivered before into agents that dock into your platform, built with your team.

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>15

years of co-creating commerce systems

3

storefront routes compared on your business case

1

comparison matrix behind every stack decision

Qualification

When agentic e-commerce is the right move

These are the situations where your commerce team spends its time on manual work instead of on the channel itself.

Capabilities

What agentic e-commerce covers

Commerce practice from years of delivery, packaged for the places where manual work concentrates.

  • Three routes, one comparison.

    Custom build, composable storefront, and out-of-the-box side by side, weighed on your conditions, not on a vendor's preference.

  • The point where fees invert.

    The comparison shows at which turnover a GMV-based fee makes a nominally cheaper platform the more expensive one.

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  • Target stack on cost evidence.

    Candidate stacks are compared against your scale and cost profile before the migration starts.

  • Less manual migration effort.

    Agent support is designed to reduce manual effort and elapsed time in the migration and to raise the quality of the migrated data.

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  • From writing to reviewing.

    Designed so that per-SKU content moves from an authoring task to a review task for your content team.

  • Markets without re-production.

    Designed so that extra languages and markets no longer mean producing the same content again.

  • Clean data before any agent runs.

    The relevant data is identified, scoped, and cleaned before any agent is fed, because irrelevant data degrades the result.

  • Closed or public, per case.

    Agents run on anonymised data in a closed environment where compliance requires it, or on public data where the content is public anyway.

  • The agent suggests, a person decides.

    Pipelines that must be deterministic stay deterministic, with a human sign-off on what the agent suggests.

The AI solution that Cloudflight developed specifically for our needs optimizes our claims processing and helps us deliver more efficient, service-oriented results.

Andreas Mascher

Andreas Mascher

Director of the Upper Austrian LKUF

Reference

Custom SAP extensions powering Brenntag’s S/4HANA journey

LKUF reimburses medical costs for Upper Austria's school teachers. Every claim used to be checked and typed in by hand. A language model now extracts the data from paper and online submissions and feeds it into the existing database. Claims staff review instead of typing. It runs on LKUF's own servers and went live in under a year.

~ 90 %
of cases prepared with AI support
> 1 year
from concept to live operation

Collaboration

This is how we build agentic e-commerce with you

Built together with your team, step by step, so the knowledge of your channel stays with you.

  1. 1

    Goals and status quo

    Where your channel stands, where you want it to go, and which manual work costs your team the most today.

  2. 2

    Platform and agent choice

    A comparison matrix based on your business conditions selects the stack and the agents that serve your goals.

  3. 3

    Data health check

    The data each agent will work with is checked for relevance and order, then chosen, cleaned, and prepared.

  4. 4

    Agents on your data

    Agents are fed with your data instead of being built from scratch, and run closed or on public data as needed.

Trust

Why commerce teams work with Cloudflight

Book a meeting

Find out where your commerce work is most manual

30 minutes with one of our commerce architects. We look at your platform, your fee model, and where agents could take manual work off your team.

FAQ

Questions commerce teams ask before they start

No. Agents dock into the platform you already run instead of replacing it. A re-platforming is only recommended where the comparison shows that a different target stack fits your business better.

Contact us

Where does your commerce team lose the most time?

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