An order, a ticket, a shipment, a claim, an invoice. Inquerio AI reaches into every system it touches and returns the full picture as a single, sourced answer. No swivel-chair, no escalation chain, no spreadsheet stitching.
The simplest question a customer or a colleague asks. The hardest one for most businesses to answer in under five minutes, because the answer lives in four systems run by three teams.
The same pattern applies to anything that spans more than one system. The nature of the question stays the same; the systems Inquerio AI reaches into vary depending on what you're tracing.
Inquerio AI reads the question, identifies the entity (order, shipment, ticket, claim), and the identifier.
It looks up which systems hold that entity, in what order, and which ones to ask in parallel.
Live queries hit each connected system. No data is moved or copied. Inquerio AI asks, the source answers.
The responses are stitched into a single answer, with the source of each fact. You can drill into any line.
Inquerio AI connects to the systems you already run. For a single end-to-end trace, these are the connectors that typically light up at once.
The system of record for the entity itself: customer, line items, and the order header. Often an ERP, a SaaS CRM, or a legacy order management system.
Auth, capture, and refund history. Whether a charge was cleared, disputed, or is sitting on hold.
Pick, pack, ship status. Stock on hand if the order has not yet shipped. Backorder reason if it has stalled.
In-transit events, last scan location, current ETA. Inquerio AI reads the carrier's API the same way you would.
Any open or recent ticket touching the same order, customer, or shipment. Surfaces the why behind a delay before you have to ask.
Knowledge base articles for the SKU, returns history, and finance reconciliation status. If the entity touched a system, Inquerio AI can reach it.
The same end-to-end trace shows up under a different name in each function. Each team gets the answer in the form they need.
Customer success
›"Where is order 4711?"
Answers the call without ten tabs open. Mean handle time drops, escalations drop, customer-perceived competence climbs.
Operations
›"How many orders are stuck between WMS pack and carrier handover today?"
The same trace, aggregated across hundreds of entities, surfaces the bottleneck stage in the pipeline before customers start calling.
Finance reconciliation
›"For invoice INV-44312, has it been paid, and was the matching order fulfilled?"
One question replaces a manual three-system reconciliation that used to be a month-end ritual. The answer carries the source on every line for audit.
Returns and claims
›"Show the full history of item SKU-AX-99 for customer C-2210."
Order, payment, fulfillment, prior returns, open ticket — one query. The case is resolved on the first call instead of being routed for investigation.
Same pattern, different entity. Each of these returns a single, sourced answer pulled live from the systems the entity touched.
›Where is shipment SH-2024-9082, and why is it late?
Reaches across WMS, carrier API, support tickets
›What's the status of insurance claim CL-7711?
Reaches across Claims system, policy DB, payment provider, document store
›Has invoice INV-44312 been paid and reconciled?
Reaches across ERP, payment provider, bank statement feed
›Did loan application APP-22019 reach the approver yet?
Reaches across Origination system, KYC provider, document store, internal queue
›What happened to support ticket #88412 after escalation?
Reaches across Ticketing, dev issue tracker, on-call rota, deploy log
›Trace the lifecycle of SKU-AX-99 from procurement to last return.
Reaches across ERP procurement, inventory, sales, returns, finance
The trace pattern runs backward. Start with a problem and find every entity it touched.
See the patternAggregated traces, on schedule. SLA breach rate, stuck order count, and today’s exceptions — all live.
See the patternThe same fan-out, before a transaction lands instead of after. Ask Inquerio AI whether the order will succeed before you accept it.
See the patternOne that takes three systems and a meeting to answer. We'll show Inquerio AI tracing it live, end-to-end, in seconds.
