Real-time API calls
When a booking has to be confirmed while the customer is still on the page. REST or GraphQL over HTTPS, with timeouts and fallbacks chosen before anyone writes the happy path.
Two systems that disagree about the same order cost more than the hour someone spends re-keying it. We connect the ones you already run, and handle what happens when one goes down.
Somebody in finance exports a CSV every Monday morning because the ERP and the billing system have never spoken to each other. Somewhere else, a customer record exists twice with two different addresses, and nobody can say which one the warehouse will use. Integration work is mostly this: making systems that were never designed together agree on the same facts, in the same order, without a person in the middle keeping score.
The right pattern depends on how fresh the data has to be, and on what the other end supports. Often the vendor's API decides for you.
When a booking has to be confirmed while the customer is still on the page. REST or GraphQL over HTTPS, with timeouts and fallbacks chosen before anyone writes the happy path.
Plenty of systems still trade flat files on a schedule, and that is often the correct answer. The overnight product feed, the payroll export, the SFTP drop a bank will not replace.
One system publishes what happened; others react in their own time. It keeps the sender from waiting on the slowest consumer, at the cost of a queue you now have to watch.
Retries, idempotency keys, dead-letter queues, reconciliation jobs and alerts that name the broken link rather than the whole pipeline. This is the part that decides whether you trust the integration a year from now.
The happy path is the easy half. The real test is the afternoon the payment provider returns a timeout after it has already taken the money, or the CRM accepts a record and silently drops a field it does not recognise. Nobody notices silent loss until somebody downstream asks why a month of orders is missing a country code.
So we settle the awkward questions early: which system is the record of truth for each field, what makes a retry safe to repeat, how long a queue may back up before someone is woken. Then we build the reconciliation that proves both ends still agree, and the dashboard that shows it. At 3am the on-call engineer should not be guessing.
Most of this is decided for you. The vendor at the far end supports what it supports, and your own platform already has a broker and an identity provider. We argue for a change only when the alternative keeps breaking.
Integration work fails in the gaps between teams more often than in the code. So the early steps are about writing down what each side promises, and the later ones about proving it still holds.
We list every place data crosses a boundary today, including the spreadsheets and the person who emails a report on Fridays. You get a diagram of the current flows with the system of record marked for each entity.
Fields, formats, error codes, rate limits, what a retry means and who owns a record when both ends have edited it. This lands as an OpenAPI or schema document that your vendor's engineers can argue with before anyone builds.
We stub the far end first, with the failures in it: timeouts, malformed payloads, a 500 halfway through a batch. The test harness stays in your repository, so the next change can be proved safe without calling a live vendor.
The new pipeline runs alongside the manual process while both are compared, so a disagreement shows up before it reaches a customer. You see the reconciliation report daily, and we cut over only when it stops finding differences.
Dashboards for throughput and lag, alerts that point at the failing hop, and a runbook covering the calls you will have to make when a vendor has an outage. Yours to operate, in your accounts, from the first commit.
Ours, in practice. Working out what an API really does when the docs are wrong is a large part of the job, and we budget for it rather than treat it as a surprise. What we need from you is a contact at the vendor who can answer a question, because some behaviour cannot be discovered from the outside.
Work where this service did the heavy lifting.
Enterprise corporations undergoing multinational digital transformations frequently suffer from operational blindness, inadequate quality gates, and chronic delivery delays stretching across years. A Fortune 100 leader operating in over 175 global markets stood at the edge of this exact crisis: despite six years of sustained capital expenditure and the involvement of numerous external stakeholders, their multilingual, omnichannel digital customer experience platform could not successfully launch in new target countries. The inefficient rollout process had degenerated into systemic operational gridlock. Stepping into the initiative, Quintet Works avoided the narrow path of a conventional testing vendor that merely executes predefined test scripts. Instead, the team re-engineered the entire process architecture and quality gates from the ground up. By taking decisive control of a chaotic User Validation Testing (UVT) environment that had devolved into a reactive war room, Quintet Works radically reduced blocker resolution times, boosted test completion rates, and established absolute release confidence across international deployments.
View projectCosmologRetailers managing massive multi-platform transaction volumes and leading the regional operations of global brands frequently encounter crippling operational blindness, largely exacerbated by fragmented sales channels and subpar middleware integrators. Cosmolog—which manages order fulfillment, returns, inventory dispatch, and end-to-end e-commerce operations for international cosmetic giants across leading marketplaces like Trendyol, Hepsiburada, and Amazon—found itself paralyzed by this exact bottleneck. Quintet Works stepped in not as a passive coding vendor, but as an embedded strategic partner, initiating deep-dive business analysis sessions from day one. Looking beyond the client's initial request for superficial spreadsheet templates, the team diagnosed the underlying root causes. They engineered a dedicated E-Commerce Monitoring & Business Intelligence Platform that ingests millions of transaction records with zero error, reconciles third-party integration data gaps, and completely automates multi-brand distributor auditing.
View projectHızlı EczaWhen Hızlı Ecza set out to deliver over-the-counter (OTC) products, dermocosmetics, and personal care essentials directly from local community pharmacies to consumers—bypassing marketplace commissions and delivery bottlenecks—they faced a logistical equation distinct from traditional e-commerce: there was no central warehouse, participating pharmacies operated without a shared ERP infrastructure, and orders had to be picked from independent brick-and-mortar shelves and delivered within minutes. While similar multi-stakeholder architectures often stall in lengthy development cycles, Quintet Works engineered the entire ecosystem from product strategy to execution. By designing a proprietary distributed inventory clustering system and an intelligent route optimization engine from the ground up, the platform reached production readiness and went live in just 4 months.
View projectDescribe the problem in a paragraph and we will tell you which service applies.