Automation

Automate repetitive work without automating the wrong process faster.

We design automation for eCommerce and operational workflows where people are repeatedly copying data, checking status or performing predictable rules that software can handle more consistently.

The bigger picture

Start with the business and technical reality

The first step in automation is understanding why the manual process exists. Sometimes it compensates for bad source data, unclear ownership or an exception that genuinely needs judgement. Automating that workflow blindly can make errors happen faster and become harder to see.

We separate deterministic work from decisions that require human review. A supplier feed can be validated and transformed automatically, while unusual price changes can be held for approval. Orders can be routed automatically, while a failed payment or invalid address is surfaced clearly for intervention.

This approach creates automation that reduces work without removing control.

Typical situations

When clients bring us in

  • Staff repeatedly download and re-upload supplier files
  • Orders require manual transfer between systems
  • Marketplace stock and price updates consume daily time
  • Reports are assembled manually from several sources
  • Operational teams repeatedly check whether jobs completed
  • Customer or product data must be reformatted between systems
The objective

What good delivery should leave behind

A successful engagement should improve more than the immediate feature or incident. It should make the system easier to understand, safer to change and more visible to the people responsible for operating it.

  • Clear technical ownership and responsibilities
  • Maintainable code and configuration
  • Visible failures rather than silent data loss
  • Controlled release and recovery paths
  • Documentation for future developers and operators
  • A sensible next-step roadmap rather than permanent firefighting
What the work covers

Technical depth across the parts that matter

The exact scope depends on the existing environment and commercial priorities. We focus on the areas that materially affect reliability, maintainability and delivery rather than adding process for its own sake.

Workflow mapping

Identify triggers, inputs, decisions, outputs and exception ownership.

Data validation

Check structure, required fields, ranges and identifiers before automated processing.

Transformation

Convert supplier or system-specific data into the target model consistently.

Orchestration

Coordinate APIs, files, queues, scheduled jobs and dependent steps.

Exception handling

Pause or quarantine unusual cases and tell the right person what needs attention.

Reporting

Record what ran, what changed and what failed so automation remains auditable.

Problems we look for

Common failure patterns that create unnecessary cost

Many technical problems are recurring patterns rather than isolated defects. Identifying them early helps avoid repeatedly paying to treat the visible symptom.

  • Automations that silently skip failed records
  • No distinction between retryable and permanent errors
  • Business rules hidden in scripts nobody owns
  • Scheduled jobs overlapping and processing data twice
  • Automation dependent on one person’s local spreadsheet
  • No approval threshold for unusually large or risky changes
How we work

A controlled route from uncertainty to production

We prefer visible, reviewable delivery. The exact sequence changes with the project, but the principle is to reduce uncertainty early and keep each production change understandable.

01Observe the current manual workflow
02Remove unnecessary steps first
03Define automation and human decision points
04Build with logging and safe retries
05Run alongside the existing process initially
06Measure time saved and refine exceptions
Engineering judgement

Technology is part of the answer, not the starting question

Automation can be implemented inside an existing platform, as a dedicated service or through integration middleware depending on scale and ownership. APIs are useful but not mandatory; reliable file-based and scheduled workflows are often appropriate for suppliers and legacy systems.

Where specialist capability comes from our wider engineering team, we are transparent about the proposed delivery model and match the person or team to the actual requirement rather than presenting a long list of technologies as if every project needs all of them.

Delivery models

Use the level of ownership that fits your team

Defined project

Midoriweb owns an agreed scope with clear milestones, acceptance criteria and release responsibilities.

Specialist workstream

Bring us into one technically difficult area while your existing team or agency owns the wider programme.

Team augmentation

Add developers to your existing process for a fixed period or an ongoing roadmap.

Ongoing technical partner

Combine support, maintenance, monitoring and planned improvement under continuing technical ownership.

Frequently asked questions

Questions worth answering before work starts

What processes are good candidates for automation?

High-volume, repetitive, rules-based tasks with structured inputs are usually strong candidates, especially when manual mistakes have a measurable cost.

Can you automate supplier product feeds?

Yes. We can validate, transform, enrich and route product, price and inventory feeds.

Can automation include human approval?

Yes. Approval and exception queues are often safer than trying to automate every decision.

Do you work with APIs only?

No. Automation can use APIs, webhooks, queues, SFTP, files and scheduled processes.

Can you replace spreadsheets?

Sometimes. We first determine whether the spreadsheet is the actual system or simply a convenient interface to a workflow that should live elsewhere.

Can automation be introduced gradually?

Yes. Phased automation is often the lowest-risk way to build trust and uncover edge cases.

Related expertise

Continue exploring

Have a requirement in this area?

Send the current situation, desired outcome, platform or systems involved and any important deadline. We can review the detail first or discuss it in a short consultation.