Services / Development & Integration
Integration Services
Integration is where most digital transformation quietly fails — not because data cannot move, but because nobody agreed what happens when it does not. Every interface we build has an owner, a contract, a retry policy and an alert.
- Practice
- Development & Integration
- Best fit
- Best fit when two or more systems must stay in step: ERP↔e-commerce, ERP↔CRM, ERP↔bank, ERP↔plant.
- Industries
- Distribution · Retail · Manufacturing · Textile · Healthcare
What’s included
Scope, stated before we start
Six work-streams that make up a standard engagement. Anything outside them is priced separately and named in the proposal — never absorbed quietly.
Integration contracts
For each interface: source of truth, field mapping, trigger, frequency, volume, idempotency rule and failure behaviour — agreed in writing before build.
Middleware & orchestration
Azure Integration Services, Logic Apps or a lightweight message broker where the pattern warrants it — chosen for your volume, not for the invoice.
E-commerce & marketplace
Catalogue, price, stock, order and fulfilment sync with Shopify, WooCommerce, Magento or marketplaces — including the oversell edge cases everyone discovers late.
Banking & payments
Payment file generation, host-to-host transfers, statement import and automated bank reconciliation with exception queues instead of silent mismatches.
Plant, POS & device data
Weighbridges, scanners, production counters, PLC and POS feeds landed reliably, with buffering for the moments the network is not there.
Monitoring & reconciliation
A dashboard per interface, alert routing to a named owner, replay tooling and a daily automated reconciliation report.
Outcomes
What changes when this is done properly
These are the three differences clients describe six months after go-live — not feature claims.
- Every interface owned, contracted and alerted
- Failures replayable without data loss
- Daily automated reconciliation, not monthly surprises
Not sure this is the right service? Discover is a fixed-price, two-to-three week assessment that answers the question with evidence — and it is usable whether or not you appoint us. Start there instead →
Who it’s for
Industries where this comes up most
Each links to how the service is shaped for that sector — the requirements differ more than vendors admit.
Our approach
The same four phases, applied to this scope
Reused deliberately. A consistent method is what makes a fixed price honest and a date holdable.
01
Discover
Process mapping before software selection.
We walk the floor and the ledger. Two to three weeks of structured interviews and document tracing produce a current-state process map, a data-quality baseline, and a written list of the decisions your systems cannot currently answer.
02
Design
One target architecture, agreed on paper.
Chart of accounts, item and customer master rules, approval hierarchies, integration contracts and reporting model are designed together — not discovered during build. You sign off a blueprint, not a demo.
03
Deliver
Configure, migrate, test, train — in that order.
Iterative configuration with fortnightly conference-room pilots. Data migration runs three times before go-live: trial, dry run, and cutover, each reconciled to the closing trial balance. Users train on their own data.
04
Sustain
Hypercare, then measurable adoption.
Four to eight weeks of hypercare with named owners and a burn-down of issues. Then a governance rhythm: master-data stewardship, monthly close review, and a Power BI adoption dashboard that shows whether the system is actually being used.
Related case study
One inventory engine behind three sales channels
Wholesale, retail and e-commerce moved onto one Odoo inventory and pricing engine, with integration contracts, batch and expiry control, and margin reported at SKU and customer level.
We had eleven versions of our item master across three companies. Techlyst rebuilt it as one governed standard and then made sure it stayed that way. Stock accuracy went from an argument to a number.
Under about four interfaces with low volume, point-to-point with good monitoring is honest engineering. Beyond that, or where several systems need the same event, middleware costs less than the mesh it prevents. We size it during Discover and show the working.
The message is retried with backoff, then parked in a dead-letter queue. An alert goes to the named owner with the payload and the error. Nothing is silently dropped, and everything is replayable once the cause is fixed.
Usually — via database views, scheduled file exchange, or a thin service layer we build in front of it. We will tell you plainly when the honest answer is to replace it instead.
Idempotency keys on every inbound message, deduplication at the boundary and reconciliation counts on both sides. It is the first thing we test and the last thing we sign off.
More in Development & Integration
Delivered by the same team
Next step
Talk to someone who has implemented Integrations before
Not a sales call. A working conversation with the person who would run the engagement, and a straight answer on scope, sequence and cost.