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infoloop

Consumer platforms

Marketplaces and consumer apps, built to grow without falling over

You run a marketplace where both sides have to show up, or an app that grew faster than the software behind it. We build the matching, the payments, the safety checks and the nudges that bring people back. Then we run it for a monthly fee.

Consumer platforms outgrow their software fast

Buyers and sellers to match. Money to hold and pay out. Complaints, fake reviews and fraud. And a single engineer who holds the whole thing in their head.

Marketplace teams rarely lack ideas. They lack a clear view of what is happening. Nobody can say which step loses people after sign-up, because it was never measured. Payouts, refunds and disputes get balanced in a spreadsheet. Complaints land in a shared inbox, and a ban from six months ago cannot be explained.

Meanwhile the to-do list is all maintenance, and every campaign feels risky because nobody is sure what breaks when it gets busy. Growth got ahead of the software, and now the software is what slows the growth down. Nobody has time to fix that while keeping the lights on.

  • Both sides matched and booked in a few taps.
  • Money held, split and paid out with a record.
  • Users measured first, then brought back.

Infoloop builds the matching, the payments, the safety queue and the nudges that bring people back, measures every step before changing it, and stays to run the platform. Small releases, each with an off switch.

Measured results

Consumer platform problems we solve

We build and run the parts of a marketplace nobody demonstrates: cancellations, refunds, disputes and the user who signed up and never came back.

  • Not enough buyers, or not enough sellers

    Plenty of sellers and not enough buyers, or the other way around. More advertising rarely fixes it. Better search, honest availability and a quick first sale usually do. We start there.

  • People sign up, then go quiet

    Getting people in works. Keeping them past the first month does not, and nobody can name the step that loses them. We fix the measuring first, then the emails, notifications and in-app nudges it points at.

  • Fraud, fake reviews and complaints pile up

    Listings need checking, disputes need answers and every ban needs a reason. We build a queue with written rules, a route to a person and a record of every decision, so a call can be explained months later.

  • The platform has outgrown the people running it

    Whoever knows how it all fits together is also the person keeping it alive, and every campaign is a gamble. We take on the running, put an off switch behind every release, and give your own team room to build again.

Built for both sides. Run by us.

Case studies

Measured results from consumer-facing work close to yours.

Choose a featured case study

A Shopify rebuild that lifted conversion 38% and paid for itself in a quarter

A faster, conversion-led Shopify rebuild lifted conversion 38% and added six figures of revenue in the first quarter.

  • +38% conversion rate
  • 6 figures added revenue in Q1
  • -1.8s faster load time

An AI support assistant that cut manual ticket work by 72%

An AI support assistant took first response from hours to under two minutes and cut manual ticket handling by 72%.

  • -72% manual ticket hours
  • <2 min first response time
  • 5 weeks to first version live

What working with Infoloop gets you

For teams that need the platform to grow without a rebuild weekend or a broken checkout on a Friday afternoon.

  • Live in weeks

    Planning in about a week, most builds live in 4 to 8 weeks, shipped in pieces you can see running.

  • One price, agreed first

    What we build, in what order, by when and for how much, written down before anything starts.

  • An off switch on every release

    A change to checkout or search ranking comes back off in minutes, not a patch at midnight.

  • Support that keeps up

    A helper drafts replies from your own help pages and order records. Your agent sends it, and can switch it off.

  • Run by us afterwards

    Somebody watching, fixes to an agreed time, security updates and a monthly report you can forward to your board.

Trusted by teams with the public on the other end

Built with React, Next.js, Node.js and Flutter, on the platforms your team already knows.

  • Webflow
  • Shopify
  • Stripe
  • Slack
  • AWS
  • OpenAI
  • Anthropic
  • WordPress
  • Next.js
  • React
  • Node.js
  • Flutter
projects delivered
50+
projects delivered
countries
6
countries
uptime on software we run
99.9%
uptime on software we run
average client rating
4.8
average client rating

What our clients say

They shipped our support agent in five weeks and it has run ever since. Response time dropped from hours to two minutes.

COO, fintech scale-up

Read the case study

Blogs and insights

FAQs

Questions platform teams ask us

Straight answers, including the awkward question about what we have not built yet.

  • Have you built a marketplace before?

    Nothing we can show you as a finished case study, and we would rather say so than dress something else up. What we have built sits next door: a Shopify store for a DTC brand that we still run, an AI support assistant live in front of a fintech's customers, maintenance software tied to a machinery maker's ERP, and attendance software across three plants. Between them that covers checkout and product pages, several sites at once, reports people rely on, and AI with limits on it. On the call we say plainly which parts of your platform are familiar ground and which we would be learning alongside you.

  • What will it cost, and how do you charge?

    It starts with a call, no slides and no charge. Then we come back with a written list of what we will build, a date and a price, not an hourly rate and a shrug. If a piece of work cannot be pinned down yet, such as moving off software we have never seen, we price that small piece on its own instead of hiding it in a wide range. The build and the running are separate numbers, quoted together. Once you are live, the monthly fee covers somebody watching, fixes within agreed times, security updates, improvements and a report.

  • What happens after launch?

    Launch moves you onto the monthly arrangement, which is how our work normally ends rather than something we sell at the last minute. It covers alerts on the parts that matter, fixes within the times we agreed, security updates, a steady stream of improvements, and a report each month on uptime, what went wrong, what we did and what we suggest next. In practice, whoever wrote the ranking rules or the seller payout job gets the alert when it misbehaves, and there is a way to undo it instead of a panic.

  • Will it cope when a campaign or a busy season hits?

    We build for the load you can measure, then test well above it. That means testing the busiest pages, search, listings and feeds, before a campaign rather than after. It means keeping copies of anything that does not change by the minute, so the same work is not done twice. And it means keeping the things that must never fail, like taking payment and paying sellers, well clear of everything else. Every release has an off switch, so if a rush exposes a problem the change comes off in minutes. If the honest answer is to change how it is built rather than rent more servers, we say so.

  • How do you use AI without it embarrassing us?

    Narrow job, clear limits, somebody watching, and a way to undo it. A helper gets a single defined task: drafting a support reply, sorting a complaint into the right pile, or summarizing an order history. It has explicit limits on what it can touch, and a person confirms anything you cannot take back, such as a refund or closing an account. Everything it does is written down, so a decision can be explained later. We keep checking the quality of its answers after launch, not only at the demo, and if they slip the off switch is right there.

  • Will you work with the platform we already have, or start again?

    We work with what is there unless there is a good reason not to. Starting again is slow and expensive, and it often recreates the same problems in newer code. We would rather steady what you have, measure it properly, and replace only the parts that need replacing. Sometimes we do suggest starting again, usually because the software it was built with is no longer supported, or because the way your data is stored cannot carry the next feature. When we say it, we tell you which part, why, and what it costs. Then we do it piece by piece so the platform keeps working. No big switchover weekend.

Tell us where your platform loses users

Bring the step that loses you people: thin supply, users going quiet, a checkout nobody dares touch. A short call, then a written scope, a date and a price.