Supply Chain & Logistics
ERP purchase orders. WMS fulfilment events. Carrier APIs. Supplier portals. Customs records. Each in its own schema, its own cadence, its own ID convention.
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Built for the solutions where data fragmentation is the operational problem.
The platform is the same everywhere: connect what you already run, resolve which records are the same entity and which fields mean the same thing, query the result in plain English. What changes by solution is the vocabulary, the systems, and the questions worth asking first.
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E-Commerce & B2B Marketplaces
Qwry.AI connects your order management, customer database, catalogue, supplier records, and logistics data, then resolves identity across them: the same customer recognised as the same customer, wherever the record lives. Operational intelligence that used to take a team of engineers becomes a question you ask in plain English.
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Manufacturing & Supply Chain
Qwry.AI resolves identity across ERP, production-floor systems, supplier records, and quality data (the same part, batch, and supplier recognised across systems that name them differently) without replacing any of them. Root-cause questions that take three days take three minutes. Cross-plant benchmarking happens in a single query.
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Power & Distribution
Qwry.AI connects SCADA, billing, metering, GIS, and consumer databases, then resolves identity across them (one consumer, one meter, one feeder, however each system records it) without replacing any of them. AT&C loss analytics, tamper detection, and demand forecasting become questions you can ask in plain English.
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FAQ
Questions about solution fit.
Qwry.AI is deployed across Supply Chain & Logistics, E-Commerce & B2B Marketplaces, Manufacturing & Supply Chain, Power & Distribution. The platform is solution-agnostic (it discovers relationships across whatever sources an estate already runs), but each of these has a documented set of use cases and connectors.
No. Qwry.AI connects to the systems already in place (ERP, MES, SCADA, WMS, billing, spreadsheets and documents) and builds a governed cross-source warehouse on your own infrastructure. Nothing is migrated and nothing is replaced.
Connecting a source is a credential and a network route, not a migration project. Relationship discovery runs over what it can see and proposes the joins; a team is reading answers across two previously unrelated systems in the same session it connects the second one.
Insights
Use cases & field notes from the data trenches.
Customer playbooks, technical deep-dives and field notes from deployments into messy enterprise estates.
Blog
baselineproof of valueoutcome
A 30-day proof of value, not a chatbot demo
A demo proves a question can be asked. A proof of value establishes whether the right sources, rules and evidence produced an answer that changed a decision.
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Investigate the reason behind the alert
Without investigation, an organisation risks automating the distribution of unexplained alerts. The result is more noise, not better decisions.
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An alert is not an insight
More alerts do not create more value. Without context and prioritisation, they simply create another queue of work.
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The problem is the same.
Fragmented data is not a solution-specific condition. Tell us what you hold and where it disagrees with itself; we will show you what Qwry.AI finds across it.