E-commerce
E-commerce software for marketplaces, order operations and AI customer support
We build marketplace platforms, order and fulfilment hubs, AI support assistants and margin reporting for online-first brands and marketplace operators, so a rise in orders does not bring the same rise in manual work.
Overview
Technology for e-commerce brands
E-commerce technology for online-first sellers is the set of systems that turns a paid order into a delivered parcel, an answered query and a repeat customer: order management, courier booking, channel and stock sync, customer support, product data and profit reporting. A direct-to-consumer brand, a marketplace operator and a seller spread across its own store and third-party marketplaces all carry the same load: orders arriving from several channels, couriers to book, customers asking where their parcel is, returns to process and ad budgets that must pay back. When people handle those jobs by copying data between dashboards, every extra order adds work before it adds profit.
We build the systems behind the storefront. That means multi-vendor marketplace platforms, order hubs that talk to courier and marketplace APIs, AI assistants that answer order questions from live data, content pipelines that keep large catalogues accurate, and reporting that joins store, ad, payment and delivery data in one place. Where the storefront itself needs work, we also build on Shopify, WooCommerce and headless Next.js.
Selling online works differently in each market we serve, and the systems have to reflect that: card and wallet checkouts in the UK, cash on delivery and WhatsApp-first customers in Pakistan, Arabic and English storefronts in Saudi Arabia and the wider Gulf. A named lead runs each engagement against a written scope, and you test working builds against your own order data every week or two before any automation touches live orders.
Challenges
What e-commerce brands are up against
New lines held up by incomplete supplier data
Supplier spreadsheets arrive with missing sizes, inconsistent colour names and no usable copy, so new products either wait unpublished or go live with thin pages that shoppers and search engines pass over.
Support inboxes full of order questions
Delivery status, address changes and return requests make up much of the support queue, and the volume jumps after every campaign while the answers sit in systems agents must check one by one.
Cash-on-delivery orders refused at the door
In Pakistan and other markets where cash on delivery is common, unconfirmed orders are often refused on arrival, and the seller usually pays the courier both ways while the stock sits in transit instead of on sale.
Listings and stock that drift between channels
Prices, product details and stock edited separately on the store and on each marketplace fall out of step, overselling follows, and orders land in several dashboards that someone has to check and reconcile by hand.
Sale days the stack was never tested for
Black Friday, White Friday, 11.11 and Ramadan campaigns bring traffic that the store, its apps and its integrations have never handled, and weak points surface at the worst possible moment.
Revenue reports that hide the margin
Store dashboards show sales but not what remains after ad spend, payment fees, courier charges and returns, so budget keeps flowing to products that sell well and earn little.
What we build
Technology solutions for this sector
Multi-vendor marketplace platforms
Vendor onboarding with document checks, per-seller catalogues and stock, commission rules, split payments or scheduled payouts, and separate dashboards for sellers and the operator, built on Next.js, NestJS and PostgreSQL.
Order and fulfilment hubs
One queue for orders from your store and every marketplace, with courier booking through carrier APIs, label printing, return collections, tracking updates sent to customers and stock levels pushed back to each channel after every sale.
Order-aware support assistants
An AI assistant on the website and WhatsApp that reads live order and tracking data, starts returns within the rules you set and hands complex cases to a person with the full conversation attached.
Cash-on-delivery confirmation and order screening
Automated WhatsApp or SMS confirmation of each order and delivery address before dispatch, plus rules that flag repeat refusals, incomplete addresses and unusual order patterns for a person to review.
AI product content pipelines
Generative AI that drafts titles, descriptions, attributes and image alt text from supplier data and photos, checks each draft against your rules and queues it for an editor to approve.
Commerce data and margin reporting
Pipelines that combine store, Google Ads, Meta Ads, payment and courier data in PostgreSQL, with dashboards for contribution margin, repeat-purchase cohorts and return rates by product.
Peak-traffic engineering
Load testing, edge caching, queue-based processing for orders and syncs, autoscaling on AWS or Google Cloud for custom builds, and on-call runbooks agreed before each major sale.
We design checkouts so that card numbers are typed into the payment provider's own hosted page or embedded fields and never pass through or sit on your servers. The PCI DSS paperwork your business completes is agreed with your acquirer or payment provider, not set by us. Customer accounts, order histories and marketing consent are designed with UK GDPR and PECR in mind, and we can adapt them to the data protection requirements of other markets you sell into.
Typical projects
Where we usually start
- 01A direct-to-consumer brand selling on its own Shopify store and two marketplaces, with one order hub and courier booking for every channel
- 02A multi-vendor marketplace for home and furnishing sellers, with vendor onboarding, commission rules and scheduled payouts
- 03A WhatsApp confirmation step that checks the address and intent behind every cash-on-delivery order before it ships
- 04An AI assistant answering delivery and returns questions on the website and WhatsApp, with clean handover to the support team
- 05A margin dashboard joining store, ad spend, courier and refund data so the real profit on each product is visible
Services and solutions
How we help e-commerce brands
E-commerce FAQ
Frequently asked questions
Yes. A marketplace needs features a normal store does not: vendor sign-up and verification, per-vendor catalogues and stock, commission rules, split payments or scheduled payouts, order routing to each seller, and dispute and returns handling between buyer, seller and operator. We usually build marketplaces as custom platforms on Next.js, NestJS and PostgreSQL, with payouts through Stripe or a regional provider that supports marketplace payments. A first release includes the smallest set of vendor tools that lets real sellers trade, and reporting and automation are added as volume grows.
Confirm every order before it ships. We add an automated WhatsApp or SMS step that asks the customer to confirm the order and delivery address, holds unconfirmed orders for a call from your team and cancels those that never respond. Simple risk rules flag patterns such as repeated refusals from the same phone number or addresses missing key details. Some sellers also offer a small incentive for paying online at checkout. Every rule is visible to your team and can be overridden, so genuine customers are not turned away by an automated decision.
Yes, provided AI drafts and people approve. We build a pipeline that takes supplier data, attributes and product images, and uses a language model to draft titles, descriptions, feature bullets and image alt text in your brand's tone. Drafts are checked automatically for missing attributes, prohibited claims and repeated wording, then queued for an editor to approve or correct. Search engines judge whether content is useful rather than who typed it, so we vary structure by category and take facts such as sizes, materials and care instructions directly from your data.
Bring every channel into a single order hub. We connect your store and each marketplace through their seller APIs where they are offered, pull new orders into one queue and push stock levels back out whenever something sells, so the same item cannot be sold twice. From the hub your team books couriers, prints labels and sends tracking updates in one step. Depending on volume and budget, the hub is either an existing order management tool we configure and integrate, or a custom service on Node.js and PostgreSQL with n8n workflows for routine steps.
We load-test the buying journey and remove weak points well before the campaign starts. That means simulating sale-day traffic on product, cart and checkout pages, caching what can be cached at the edge, checking payment and courier API limits, and moving slow work such as emails and stock syncs onto queues. We freeze non-essential changes, agree who is on call and prepare a runbook for failures such as a payment outage. On hosted platforms like Shopify the focus shifts to apps, scripts and integrations, because the platform scales its own checkout.
Automate the paperwork and courier booking, and release money only after the returned item has been checked. Customers start a return from a self-service page or WhatsApp, and the system tests the request against your rules for order date, product category and condition before booking a courier collection or issuing a drop-off label. When the parcel reaches your warehouse, staff record its condition and the refund or store credit is released if it passes. Exchanges reserve the replacement size straight away, and return reasons are logged per product so recurring sizing or quality problems show up in reporting.
By joining data that usually lives in separate systems. We build pipelines that pull orders and refunds from your store, spend from Google Ads and Meta Ads, courier charges, payment fees and product costs into one PostgreSQL database, then calculate contribution margin by product, campaign and channel. Dashboards show which products make money once every cost is counted and which only look healthy on revenue. The hardest part is usually agreeing how to allocate shared costs such as brand advertising, so we settle those rules with your finance owner first.
Usually not. Shopify, WooCommerce and most modern commerce platforms expose APIs and webhooks, so order automation, support assistants, product content pipelines and reporting can be built around the store you already have. We start with the workflow that costs your team the most time and connect to it directly. Replatforming is worth discussing only when the current system blocks something important, such as marketplace features, trade pricing or dependable performance under load, and in that case we compare the options and their trade-offs in a written note before recommending a move.
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