Fuse for e-commerce · B2B and B2C
Liberate your data,
keep it ready for business
Governed, standardised and usable by every team and system.
Supplier files, APIs and system extracts arrive in different shapes, languages and levels of detail. Fuse reconciles them on the business key you map, settles the conflicts on your rules, and checks each channel's requirements before the feed leaves.
Where Fuse sits
Between what you receive and what you publish
Supplier files and system extracts on one side. The shop, the marketplaces, the distributors and your sales teams on the other.
Fuse is the quality layer in between. It reconciles the sources on the business key you map, controls the result against your rules, and hands each destination the payload it expects.
E-commerce daily problem
The consequences of an incorrect product catalog
Selling at a loss? Illegal. Selling at the wrong price? Frustrating. Shipping the wrong product? Infuriating. Not selling at all because of bad data? No way.
An easy-to-use, effective tool that learns from your decisions.
Errors surface when a product goes live, when a customer orders, when a marketplace rejects a feed or when a salesperson finds that two systems say different things. By then the cost is already commercial.
Product health
Ergonomic office chair
2/8 fields ready
- reference CHAIR-458 Ready Matched across all four sources.
- gtin 05400123456789 Ready Checksum valid.
- description 48 characters Review Too short for the marketplace minimum of 300.
- material not set Review Attribute missing. Required by two channels.
- price 129 EUR / 134 EUR Blocking Two sources disagree. ERP and Supplier B are 5 EUR apart.
- availability Last seen 14 days ago Blocking Stale. The freshness rule allows 24 hours.
- image_url v2 asset Review Points at the superseded product version.
- lead_time not set Review Absent. Blocks the B2B distributor feed.
The shift
Many sources. One trusted record. Ready to publish.
Fuse matches rows on the business key you choose, highlights where sources disagree, and applies the priority rules your business has defined.
The result is not just standardised data. It is data you can trust: for every record, you can see where it came from, what changed, and whether it is validated.
Before Four systems, four dialects
-
Supplier A
Excel, weekly
- gtin
- 05400123456789 agrees
- reference
- SKU-458 restated
- price
- €129 agrees
- colour
- rouge restated
-
Supplier B
CSV over API
- gtin
- 05400123456789 agrees
- reference
- 458-R restated
- price
- 134 EUR disagrees
- colour
- Red agrees
-
ERP extract
Nightly job
- gtin
- 05400123456789 agrees
- reference
- PROD-458 restated
- price
- 129.00 agrees
- colour
- R restated
-
PIM extract
Manual entry
- gtin
- 05400123456789 agrees
- reference
- SKU458 restated
- price
- not set absent
- colour
- rouge restated
After One record, every field accountable
CHAIR-458
Ergonomic office chair
- CHAIR-458 reference sourced from Fuse master validated
- 05400123456789 gtin sourced from Supplier A validated
- 129 EUR price sourced from ERP extract validated
- Red colour sourced from Colour reference validated
- EN · FR · NL locales sourced from Translation step validated
Ready to publish
How it works
Six steps. One discipline.
The same pipeline runs on every import, on the rules you set.
- 1
Collect
CSV, JSON and XML files, REST APIs and exchange standards, plus extracts from the ERP, PIM, WMS and suppliers you already run.
- 2
Understand
Structure, formats, languages, units, categories and currencies, mapped to your model.
- 3
Reconcile
Duplicates, variants and conflicts, resolved on the business key you configured.
- 4
Enrich
Mapped internal fields first, then the approved external sources you switch on.
- 5
Control
Completeness, schema and business rules, at the strictness you choose.
- 6
Publish
Files, REST or a connector to the shop, the PIM and the channels, as changes are validated or on schedule.
Inside the record
Every field knows where it came from
Origin, transformation and validation status travel with each value, so you finally master all your information sources. When a price is questioned, the answer is on the record — not in someone’s inbox. You get real data lineage at field level: trace, explain and trust every value.
CHAIR-458 Ergonomic office chair
- price
- 129 EUR ERP extract · priority rule applied · validated
- colour
- Red Supplier A · glossary term applied · validated
- lead_time
- — Absent from every source · waiting in the Inbox
Outcomes
What changes, and how it is measured
Four figures from Data Punks engagements. Each one shows what it is measured against, because a number without a denominator is decoration.
-
-70%
Data processing time
The hours spent collecting, cleaning and reformatting product data before it can be published.
Observed on Data Punks engagements, comparing the manual effort on an agreed perimeter before Fuse with the same perimeter once the pipeline runs it. Not a contractual commitment.
-
-100%
Critical data errors reaching a channel
Errors on the fields you decided are critical: they are blocked at the boundary instead of published.
Applies to fields covered by blocking validation rules. Those records stop in the Inbox, so none reach a channel; fields you choose not to gate are not counted.
-
-60%
Data time-to-insight
How long it takes to answer a question about the catalogue, from "where did this price come from" to "which products are incomplete in Dutch".
Observed on Data Punks engagements, measured on questions that previously required extracting and joining data from several systems by hand.
-
+30%
Omnichannel performance
Complete, compliant records published on more channels, with fewer rejections and fewer withdrawals.
Observed on Data Punks engagements across the channels in scope. Depends on the catalogue's starting completeness and on each channel's own rules, so it is measured per client rather than promised.
Fit
It sits beside what you already run
Fuse is a non‑intrusive SaaS layer that complements your internal and external sources, your applications and your reference data.
No heavy implementation, no rip‑and‑replace. Your systems keep ownership of their fields; Fuse makes the whole landscape more reliable.
- Beside your stack
- Fuse is the quality layer between sources and systems. It prepares and reconciles data before it enters your PIM and before it reaches your channels, so every application consumes clean, standardised and trusted values.
- EU data residency
- All Fuse product data is processed and stored in the European Union, on EU infrastructure, to meet your sovereignty and compliance expectations.
- Twenty years of it
- Data Punks is a Brussels company with more than twenty years of experience in European data governance and integration architecture. We build pragmatic solutions for real business constraints, not lab prototypes.
- Humans in the lead
- You define the model, the priorities and the level of strictness. AI agents accelerate detection, matching and enrichment, but every rule and every decision stays under your control.
Bring us the feed that breaks first
One supplier, one range or one marketplace. We map it, run it through Fuse and show you the exceptions on your own data.