New study: The Agentic AI gap
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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.
Let's get in touch>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.

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.

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
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.
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
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
Platform and agent choice
A comparison matrix based on your business conditions selects the stack and the agents that serve your goals.
- 3
Data health check
The data each agent will work with is checked for relevance and order, then chosen, cleaned, and prepared.
- 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

Contact us
Where does your commerce team lose the most time?
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