Software Development

E-commerce Systems

Online sales is more than a storefront. Most of the work sits in the processes behind it, and that is usually where the manual handling and the errors accumulate.

The storefront is the small part

A good store page matters, but it is rarely where the difficulty lives. The difficulty is in everything that happens after someone clicks buy, and in everything that has to be true before the page can show the right price and the right availability.

That work is easy to underestimate because much of it is currently done by people. Someone updates stock in two systems. Someone exports orders and imports them into accounting. Someone answers a return request by searching their email. None of these tasks is difficult, and together they set a ceiling on how many orders the business can process without hiring.

Where the manual handling hides

Ask where the day goes and the same answers appear. Copying product data between the store and a marketplace. Reconciling stock after a delivery. Checking which orders have been paid but not dispatched. Chasing an order that failed somewhere between the payment gateway and the warehouse.

Automating these is unglamorous work with a straightforward payoff. Each removed step is a step that can no longer be done wrong, and errors here are expensive in a specific way, because a customer sees them. Selling stock you do not have costs you the order, the refund handling and some amount of trust.

It is worth naming the ceiling plainly. If processing an order takes ten minutes of somebody's attention, twice the orders means twice that attention or something quietly slipping. Automation does not remove the work that needs judgement, such as an unusual complaint or a customer who wants advice before buying. It removes the transfers and the checking around that work, which is what leaves room for it.

Product data comes first

Most integration problems turn out to be data problems wearing a disguise.

The same product exists under two identifiers. Attributes that belong to a variant are stored on the parent. Pricing rules live partly in the platform and partly in a spreadsheet someone maintains. Any integration built on top of that inherits the inconsistency and multiplies it across channels.

So the first substantive step is usually agreeing what a product is, where its authoritative data lives and which system may change what. This is less interesting than building connectors, and it determines whether the connectors work.

Integrations that expect failure

Payments, couriers, marketplaces and ERPs are systems you do not control. They rate-limit, time out and change their APIs, and they do it during your busiest week rather than a quiet one.

An integration written for the happy path will quietly lose orders when that happens. We build them to retry, to record what was already sent so a repeat does not duplicate a shipment, and to raise something visible when a message cannot be delivered at all. It is more work than a direct call, and it is the difference between an integration you can trust and one someone has to babysit.

Choosing the platform honestly

There is no universally correct answer here, and the right one depends mostly on how standard your process is.

An established platform gets you to market quickly and covers a wide range of ordinary cases, which is exactly what most stores need. Custom or headless architecture earns its place when your catalogue, pricing or fulfilment logic does not fit that shape, or when the platform's constraints are already being worked around by a chain of plugins and manual steps that someone maintains.

We would rather help you extend a platform that is serving you than sell a rebuild you do not need. The useful question is not which technology is better, but which part of your current setup is actually costing you orders.

What you get

Product and offer management

One place where product data, descriptions, attributes and pricing rules are maintained, and from which every sales channel is fed. Editing the same product in four systems is where inconsistency starts.

Stock and data synchronisation

Reliable sync between the store, the warehouse and external systems, with clear rules for which source wins when two of them disagree. This is what stops you selling something you no longer have.

Order handling

Orders moving through defined stages from payment to dispatch, with the exceptions handled explicitly rather than by someone remembering to check a list.

Returns and complaints

A path the customer can start themselves and your team can process without email archaeology, with each case carrying its own status and history.

Payment, courier and ERP integrations

Payment providers, shipping labels and tracking, and accounting or ERP records written automatically instead of re-keyed at the end of the day.

Marketplace connections

Offers, stock and orders exchanged with the marketplaces you sell on, so an additional channel does not mean an additional person maintaining it.

How we work

  1. 01

    Follow one order end to end

    From placement to dispatch to invoice, including a return. Everywhere a human currently retypes, checks or reconciles something is a candidate for automation, and we list them before proposing anything.

  2. 02

    Sort out the product data

    Most integration pain is really data pain, such as inconsistent identifiers, attributes in the wrong place or the same product existing twice. Fixing the model first makes everything downstream simpler.

  3. 03

    Automate the highest-volume step

    We start with whichever manual step happens most often, because that is where the return is clearest and where errors are currently most likely.

  4. 04

    Connect the systems around it

    Payments, couriers, warehouse, accounting. Each integration is built to handle failure, because external services do go down and orders must not be lost when they do.

  5. 05

    Harden for peak and hand over

    Load-sensitive paths are tested before your busiest season, monitoring is set up on the flows that matter, and your team gets the documentation to operate it.

Tools and technology

Where a solid open-source tool exists, we choose it over a closed one. No lock-in to a single vendor, and costs you can actually predict.

  • TypeScript
  • Next.js
  • Node.js
  • PostgreSQL
  • Medusa
  • WooCommerce
  • n8n
  • Shopify
  • Stripe
  • PayU
  • Przelewy24
  • BaseLinker

Frequently asked questions

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How much of your order handling is still manual?

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Walk us through one order, from payment to dispatch, and we will point out which steps your store, warehouse and ERP could be handling on their own.

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