Data family · FMCG Cloud Agent
Data Quality Agent
The Data Quality Agent is the working AI that keeps your route-to-market data honest. It watches every feed flowing into the ConnectX data layer — outlet masters, SKU and price files, order and invoice records, field-visit logs, GPS and route telemetry — and detects, explains and repairs the anomalies that quietly corrupt commercial decisions. It is not a data-quality dashboard you have to read and act on. It does the cleanup job itself, continuously, on the one data model the rest of the platform runs on.
What a Data Quality Agent does
In an FMCG distribution business, dirty data is the default state, not the exception. The same outlet appears three times under slightly different names; a SKU is mapped to two pack sizes; a price file lands with a decimal in the wrong place; a rep's visit is logged with a timestamp that predates the order it is attached to; a depot syncs an order twice; a distributor's feed drops a column overnight. The Data Quality Agent profiles every inbound feed against the ConnectX schema and against the historical shape of your own data, then flags the records that do not fit — duplicates, orphaned references, out-of-range values, broken outlet-to-territory or SKU-to-category mappings, impossible quantities, and stale or missing fields.
Detection is only half the job. The agent proposes and applies repairs: deduplicating and merging outlet and customer records, normalizing names, units and currencies, reconciling SKU mappings to the master catalog, back-filling or correcting reference keys, and quarantining records it cannot safely fix so they never reach downstream agents. Every repair is traceable — what changed, why, against which rule or pattern — so the activity feed shows an auditable decision trail rather than a silent overwrite. Where it is confident, it acts automatically within the guardrails you set; where it is not, it raises the record for a human to confirm.
Because it lives on the ConnectX data layer, the Data Quality Agent works across feeds, not file by file. It can tell that the outlet in a field-visit log, the outlet on an order, and the outlet in the route plan are the same physical store — and fix the record so they reconcile. It runs on ingestion and on a schedule, learning the normal patterns of your master data and your transactions so it catches drift and structural breaks in distributor feeds before those errors propagate into orders, forecasts, routes or settlements.
Why it matters on one data model
On the ConnectX data layer, every agent reads and writes against one shared model — so the Order Agent, the Route Agent, the Demand Agent and the Segmentation Agent are all only ever as good as the data underneath them. A single duplicated outlet or mismapped SKU does not stay contained; it skews a forecast, misroutes a delivery, double-counts a customer's volume, and corrupts a settlement. The Data Quality Agent is the upstream guardian that stops bad records at the door, which is why it sits in the Data family as foundational infrastructure for the whole route to market rather than a one-off cleanup tool.
That foundation is also what FMCG Verified certifies. A Data Quality Agent earns the mark only when it consumes and emits cleanly on the one FMCG Cloud data model, exposes every repair through the standard event schema with an auditable trail, passes the platform security review with least-privilege access to the feeds it touches, and meets its documented data-handling posture — residency, retention and tenant isolation, with no cross-tenant training without opt-in. So the agent you trust to rewrite your data is held to the strictest bar on the marketplace, whether it is the first-party FMCG Cloud Data Quality Agent or a specialist partner's.
The trust layer
What “FMCG Verified Data Quality Agent” guarantees
Every Data Quality Agent on the marketplace — first-party or partner — must clear the same six criteria before it earns the mark.
Protocol compliance
MCP & A2A interoperability — the agent consumes and emits on the one FMCG Cloud data model.
Observability
Emits the standard event schema — every action shows in the activity feed with an auditable decision trail.
Performance
Meets the per-family latency SLOs — execution-family responses in seconds, finance-family in batch windows.
Security review
Passes the platform security review — least-privilege data access, scopes disclosed at install.
Support SLO
The vendor commits to the published support response times for its tier.
Data-handling posture
Documented residency, retention and tenant isolation — no cross-tenant training without opt-in.
Data Quality Agents on the marketplace
FMCG Cloud — Data Quality Agent
The first-party Data Quality Agent, FMCG Verified at launch and live on the one data model.
Partner Data Quality Agents — onboarding
Specialist vendors are onboarding through the marketplace. Build one and list it — become a partner.
More in the Data family
Part of the ConnectX category · see all 16 agent types.