Custom software development for work standard tools can't handle

How a Shopify product configurator works

A Shopify product configurator replaces a fixed product page with a set of choices. The customer picks the options, sees the price for that exact combination, uploads a file and checks out as usual. The order and the file then go to your production partner automatically, and nobody copies them by hand.

We work out the pricing rules with you in the blueprint, so every combination of size, material and quantity gets the right price, and we test those rules in the prototype before they go into your store. Customers see a clear price on the product page and don't have to ask you for a quote on standard combinations.

What we built for Birun Print & Sign

Birun Print & Sign is a print and signage company in Amsterdam and Almere. We built its Shopify store with product configurators, live pricing, file upload and automatic order forwarding to its print partner, set up 301 redirects from the old URLs and added an English language version. The store has been live since 28 August 2026.

Read the Birun Print & Sign case study

When a configurator is worth it

A configurator is worth it when your price depends on the options a customer picks and people would otherwise email you for a quote. If your buyers are businesses that want a quote before they order, a B2B quote basket can suit them better, and both can run in the same Shopify store.

We build configurators as part of our Shopify work, together with the theme, the catalogue and the SEO of the store.

See how we build Shopify stores

How a B2B quote basket works in Shopify

A B2B quote basket lets trade customers shop your catalogue as usual, but the basket ends in a quote request instead of a payment. Your team receives one request with every product and quantity, replies with a quote and agrees the terms, and the buyer then orders on those terms.

It fits stores that sell to businesses in volume, or where the price depends on the customer, the quantity or the delivery. The quote basket can sit next to a normal checkout for retail customers, or replace the checkout for trade customers altogether.

Where we built it first

We built the quote basket first for Private Label Specialist, our own brand. Its Astro site has 234 pages in Dutch and English, a catalogue of 26 product groups, a search function and the quote basket, with an SEO check in the build. We bring the same approach to Shopify stores.

Read the Private Label Specialist case study

What your team gets with each request

Each request reaches your team as one overview with every product, every quantity and the buyer's contact details, so you can reply with a quote without asking for the list again. You set the price and the terms per request, which suits buyers whose volumes or delivery wishes change from order to order.

Shopify B2B features or a quote basket

Shopify's own B2B features suit buyers who pay at checkout with their own price lists. A quote basket suits buyers who first need to discuss volumes, materials or delivery with your team. Plenty of stores need some of both, and we help you choose in the blueprint, before anything gets built.

Which B2B features you can use depends on your Shopify plan, so we check that first. Then we decide with you whether the quote basket sits alongside them or on its own.

See how we build Shopify stores

What a live KPI dashboard shows

A live KPI dashboard puts your search, site and product numbers on one screen and keeps them current. Ours reads from Search Console, GA4 and Merchant Center, so you see clicks from Google, what visitors do on your site and the state of your product feed without exporting anything first.

The dashboards are built and in our own use. We set them up on your own accounts, with the access you choose to give us.

How we set up a live dashboard

We start by agreeing with you which KPIs matter and who looks at them, so the dashboard answers the questions your team asks every week and leaves out the rest. Then we connect Search Console, GA4 and Merchant Center and build a first version as a prototype, so you can check the figures before the dashboard becomes your weekly view.

Once the figures are right, the dashboard takes the place of the monthly export, and your team can open it whenever a question comes up.

AI assistants that work safely across stores and inboxes

Our AI assistants work across several Shopify stores, inboxes or ad accounts from one place. They prepare the work, and a person approves it before anything goes live, so your team keeps the final say on every change that reaches a live store or a customer's inbox.

This helps when you run more than one store or brand and the same task has to happen in each of them. We connect the assistants to your own business data, so they work from your current figures. Ads are part of this only as a follow-on to a website or SEO project, and always as a draft first.

See how we approach AI automation

What the app does for weekly deliveries

The app brings stock, weekly orders, labels, signed proof of delivery and a monthly draft invoice into one system. Each order belongs to a location and a week, and when the recipient signs, the proof stays with that order. At the end of the month the deliveries turn into a draft invoice that your team checks.

We built it for our own operations work. From Amsterdam we handle sourcing, configuration, storage and on-site delivery to locations across Europe, with sourcing and storage in Türkiye where that fits, and the app keeps all of that in one record.

Why a custom app instead of a standard inventory management app

Many standard inventory apps are built around stock in a warehouse. Weekly deliveries to changing venues also need configuration, labels per location, a signature at the door and one invoice per month, so we built an app around that rhythm. It suits companies whose deliveries follow the same weekly pattern, even when the addresses change.

Because everything sits in one app, the person who plans next week's orders sees the same stock and delivery history as the person who prepares the invoice. Nobody has to merge lists from different tools before they can answer a client.

In use since October 2026

Since October 2026, we've run the weekly deliveries of tablets and printed materials for Glomacs and AZTech from this app. These international training organisations from Dubai have worked with us since 2023, and every week we deliver to their training venues across Europe, with configuration, storage and on-site delivery included.

If your company delivers to many locations on a fixed rhythm, we can build the same kind of app around your own products and locations.

Read the Glomacs and AZTech case study

How the AI connection to your accounting works

The connection sits between an AI assistant and your accounting software, such as WeFact. You ask for something in plain language, like an overview of open quotes or a payment that still needs matching, and the assistant does the work in your own books. Permissions per user decide what it may do, and the activity log records every step.

Because the work happens in your own accounting software, there's no second system to keep up to date. Your accountant sees the same figures as you do, and the log shows afterwards who asked for what.

What the AI connection can help with

It helps with the routine work around invoices, quotes, customer records and bank payments. You can ask it to find every open quote for a customer, prepare an invoice from details you've agreed or match incoming payments to the right invoices, and each of those actions ends up in the log.

It is most useful when creating invoices and quotes, keeping customer records current or matching bank payments takes up a large part of your team's week. It also suits small finance teams and founders who still do part of the accounting themselves, because the assistant works in the software they already know.

Built and in our own use

We built this connection and use it in our own business. There is no client case for it yet, so we don't show results here. In the intro call we look at your accounting software and the finance tasks that take up most of your time, and then we tell you whether the connection is worth it for you.

If it is, we set up the permissions with you first and only then connect the assistant to your books. It is also one of the three parts of our accounting automation for SMEs, next to monthly draft invoices from delivery notes and automatic reporting.

See how we approach AI automation

Which accounting tasks can be automated?

The tasks that come back every month in the same form are the ones to automate. For a small business that usually means turning signed delivery notes into invoices, matching incoming bank payments to open invoices, looking up quotes and customer records, and putting the monthly figures together.

Anything unusual, such as a one-off arrangement with a client, still goes to a person. The automation prepares, and someone on your side decides.

Signed delivery notes become one monthly draft invoice per client

With digital delivery notes, the loader and the recipient sign on a phone at delivery, after which the note locks and is saved as a PDF. At the end of the month the system collects every signed note for a client and turns them into one draft invoice in your accounting software, where it stays a draft until someone on your side approves it.

This step already runs at a client. At Expert Air Services, an aviation services and catering company at Schiphol, the loader and the crew both sign on the loader's phone, and invoicing has run automatically since 14 September 2026. If you work with proofs of delivery instead of delivery notes, the monthly invoice step is the same.

What the AI connection does in your software

The secure AI connection to your accounting software, such as WeFact, prepares invoices and quotes, works with customer records and matches bank payments to the right invoice. Each user gets their own permissions, and the activity log records who asked for what. We built the connection and use it in our own business, and there is no client case for it yet.

Does accounting automation replace your accountant?

No. Hault doesn't do bookkeeping, tax returns or tax advice, and this automation doesn't change that. We build the systems that do the typing and the matching before your accountant looks, and the checks, the returns and the advice stay with your accountant.

Because everything happens in your own accounting software, your accountant keeps working in the software they already know, and the activity log shows what was prepared and by whom.

What goes into the automatic report

The automatic report brings your figures together in one fixed place, so nobody has to build an overview by hand at the end of the month. We decide with you which figures go into it, based on the questions you now answer yourself when the month closes.

For marketing figures we've already built live reporting from Search Console, GA4 and Merchant Center, which is in our own use. For your accounting, the report is set up around the data in your own software and your draft invoices.

Where to start

You can start with a 30-minute intro call or with our two-week workflow scan. In the scan we look at where the time in your administration goes and what your accounting software allows, and you get a payback estimate before we build anything. After that the work follows our usual steps of blueprint, prototype, build and launch.

How does the lead engine find and score companies?

It starts from a profile of your ideal customer, such as their sector, size and region. The engine looks for companies that match, looks into each one and gives it a score for how well it fits, and only the best fits get a draft email.

The score decides where you start. The companies at the top of the list fit your offer best, and each draft mentions the company it was written for, so the reader can tell that someone looked at their business.

Who the lead engine suits

It suits B2B companies that know which clients fit them but lose time finding them. If you can describe your ideal customer in a few lines, such as the sector, the size and the region, the engine has what it needs to start. If you sell to consumers, or every client is different, a profile like that is hard to write, and the engine has little to work with.

Why someone reads every email before it goes

A first email only works when it's accurate and sounds like you. The engine does the searching and writes the first draft, and someone on your team checks the facts, adjusts the tone and decides whether and when it goes out.

Does it replace your sales team?

No. The lead engine takes over the searching and the first draft, and the conversations, the follow-up and the decisions stay with your people. It also works next to a dedicated marketing team, because both start from the same picture of the clients you want.

Built for our own sales first

We built the lead engine for Hault and use it ourselves to find new clients. We don't have a client case for it yet, so this section shows no results. If you want a B2B lead generation system for your own sales, we set it up around your offer and your market, and we agree the scoring with you before any email is drafted.

See how we approach AI automation