[ Antcluster for FMCG ]
SAP, distributor portals, trade spend — one queryable graph.
Example query
"Show me SKU-level gross margin variance by distribution channel, adjusted for trade spend, for October."
Your schema · one Topology Graph
Source systems
SAP · Distributors · Trade · POS
Entity match recall
Cross-system query
< 0s
[ One graph ]
Every FMCG system → one queryable topology
Antcluster ingests each source database, discovers cross-system join paths automatically, and unifies them into one Topology Graph — no bespoke ETL pipeline required.
The data problems Antcluster solves in FMCG
SAP + distributors + trade spend never agree
Antcluster ingests multiple source systems into one Topology Graph. Cross-source join paths are discovered automatically — no bespoke ETL pipeline.
Duplicate supplier names corrupt aggregations
The Value Abstraction step maps "Tata Motors", "TATA MOTORS LTD", and "Tata Motors Limited" to one canonical token. Entity-matching recall: 71% → 99.2% on a 2M-row supplier master.
Channel margin questions take days, not seconds
SKU-level margin variance by channel, adjusted for trade spend, is one natural-language question — not a six-table SQL exercise.
Questions teams ask Antcluster
- SKU-level margin variance by distribution channel with trade spend adjustments
- Promotion lift analysis across distributor and retail channels
- Inventory days-of-cover across geographies and SKU families
- Trade promo spend ROI by channel and time window
Further reading
See Antcluster on your FMCG data
30-minute live demo on a sample of your real database. Read-only, air-gapped, no setup required.
Book a demo