FMCG and Consumers Products
The data investment has been real. ERP, trade promotion systems, distributor portals, and syndicated market data all exist, and each reports reliably on its own terms.
But those terms rarely agree. A single SKU can carry different identifiers across the manufacturer's own systems, each distributor, each retailer, and the syndicated data provider tracking the category.
The same is true for outlets and customers. Leadership isn't just short of data, it's short of a shared way to describe what the data is actually about.
The same SKU is coded differently across internal systems, distributors, retailers, and syndicated data providers, making it hard to confirm they're describing the same product
Retail outlet and customer records rarely align across a manufacturer's own systems and its distributor or retail partners' systems
Reports reliably confirm last cycle's sell-in and sell-out. They rarely support decisions that are forward-looking or cut across brand and commercial teams
The response to an unclear signal is usually to add another data source, rather than question whether the existing ones can even be reconciled
What's Actually Breaking
A manufacturer's product, outlet, and customer hierarchies rarely match those used by distributors, retailers, and syndicated data providers. Without reconciled identifiers, combining their data means combining records that may not actually refer to the same thing.
Distributor and syndicated data get built into dashboards on the assumption that if a number exists, it's reliable enough to act on. Quality, freshness, and lineage rarely get checked against a defined threshold, or monitored once the dashboard is live.
Access controls typically get addressed once a platform is live. Master data ownership, identifier reconciliation, and what level of uncertainty is acceptable for a given decision rarely get designed in from the start.
Produces more views of data that may not even be describing the same products or outlets as the sources already in place.
Request a Diagnostic ConversationCan be justified on its own merits, but without first reconciling identifiers and verifying signal quality, it moves the same unresolved mismatches into a newer, costlier system.
Establish a master mapping across manufacturer, distributor, retailer, and syndicated-data identifiers before combining their numbers into one view.
Test whether the underlying data meets a defined bar for quality, freshness, and lineage, monitored continuously, before anything gets built on top of it.
Set master-data ownership, identifier reconciliation, and acceptable uncertainty as part of the architecture from the start.
Maintain a reconciled mapping across partners' product, outlet, and customer identifiers, and enforce agreed quality thresholds consistently once defined.
Decide whose identifier scheme should govern, or resolve a disagreement between partners about what counts as the same outlet or customer. Those are commercial and governance decisions technology can enforce once made, not make itself.
Maps how consistently product, outlet, and customer identifiers align across the business's own systems, distributors, retailers, and syndicated-data providers, and tests signal quality at each point. Leadership leaves with a clear view of where reconciliation is weakest, where the architecture serves real decisions versus confirms last cycle, and a prioritised sequence for closing the gap.
Request a Diagnostic ConversationData that can't agree on what it's describing can't be trusted to answer what leadership is actually asking.
If your business is growing but reporting, workflows, data, or execution are becoming harder to manage, Kelarix can help you diagnose where better systems can create real leverage.
