Systems in production

Six systems running today, each with what it earned or saved. All but one were designed, built and deployed by one person, and most are still operated by the same person. Figures are measured, not estimated. Open any of them to see whether your situation looks similar.

The shape of every system here: sources that disagree, one reference database that prices and decides, every channel kept consistent with it, and a measurement loop that says what each change earned.

SourcesIngestNormalize and decideCoreChannels~300K offersSupplier catalogs5 feeds, hourlyMarketplace ordersCustomer messagesmail, Allegro, eBayVendor APIsCompetitor pricesdaily crawlAPI clientsrate limits, retriesCrawlersheadless, rotationMail and threadsDedup and cross-referenceValidate and repairPrice rulesfloors, tiers, per storeAI triage and draftread-only toolsHuman approvalone click, nothing auto-sentPostgreSQLone reference databaseQueues and workersidempotent, retriedSearch indexStorefrontAmazonall EU storesAllegro and eBayKauflandevery country storeGoogle MerchantMeasure, every runWatchdogs and alertssource health, stalled jobs, driftReconciliationorders, settlements, invoices, e-invoicingBefore and afterrevenue, order value, listings livePrice intelligenceundercuts, margin leaks, true lowsorders, settlements, messages back into the database