Services · Mobile app development · AI customer support apps

AI support for Manchester brands that handles the rush and keeps the human touch.

Codeeo provides AI customer support app development Manchester retailers, subscription services, venues and travel firms use to stay on top of busy inboxes. We build systems that read orders, returns, account and booking questions as they arrive, answer the routine ones from approved information, prepare the rest for an agent with the facts already looked up, and pass anything sensitive to a named person with the context attached.

Greater Manchester is home to fast moving online retail, a large media cluster at MediaCityUK in Salford, two major football clubs and a busy international airport. Their support teams face sharp peaks rather than steady flow, and that is the problem we design for.

Built for
Online retailers, subscription and media services, venues and ticketing teams, and travel operators serving customers from Manchester and the North West.
Typical timeline
Planned with you after discovery, working back from your next sale, season or launch so the system is tested before the rush.
What you own
All code, prompts, automation rules, knowledge content, conversation history and analytics, in your own cloud and helpdesk accounts.
Rated
4.7 / 5 from 23 Google reviews

200+ companies servedFrom a first store to an ADX listed developer

Modon
Majid Al Futtaim
HP
Belkin
Dulsco Group
OneClickDrive
Hanayen
HMS
Clocksprings
Ghezlan

Inside the system

Features for support teams that live by peaks and launches.

A fashion sale, a season ticket renewal window or a storm grounding flights can multiply contact volumes overnight. Hiring temporary agents takes weeks, and they need time to learn the policies. Software can absorb a large share of that surge if it is built around the questions customers actually ask during those peaks.

The capabilities below are the ones Manchester teams ask about most. They run inside platforms such as Gorgias, Zendesk, Freshdesk, Intercom or Salesforce, connect to your order, ticketing or booking systems, and follow written rules for what can be answered automatically. Refunds beyond policy, complaints, safeguarding concerns and anything involving a person's safety stay with your staff. We usually build the order and account lookups first, because they make every other feature more useful, then add automation in the areas where testing shows answers are reliably right.

Explain your project
  • Order status answered from live data

    Questions about where an order is make up a large share of retail contact. The system checks the order platform and courier tracking, replies with the actual status and expected delivery, and only creates a ticket when something is genuinely wrong, such as a parcel stuck at a depot.

    Routine order questions closed without an agent opening them.

  • Returns and refund rules

    Returns are checked against your policy and the Consumer Rights Act 2015, covering return windows, faulty goods and exchanges. Straightforward returns get a label and instructions; borderline cases go to an agent with the order history, photos and the rule that applies already summarised.

    Faster refunds for clear cases and fair decisions on hard ones.

  • Peak sale surge mode

    Before a big sale, you switch on surge rules that widen what is answered automatically, publish known issues to every channel and push urgent payment or delivery failures to the top of the queue. After the peak, the rules return to normal with a report of what changed.

    Queues stay manageable on your busiest days.

  • Social inbox triage

    Manchester brands get much of their contact through Instagram, TikTok and Facebook messages. The system pulls those into the helpdesk, separates complaints and order problems from comments and creator enquiries, and keeps public replies for a person to approve.

    Social messages answered from the same queue as email.

  • Subscription and account support

    For media, streaming and membership services, the AI explains plans, renewal dates and billing, and handles simple changes once the customer is verified. Cancellations follow the clear, easy route UK consumer rules expect, and any retention offer is shown by a person, not pressed by a bot.

    Account changes handled quickly and fairly.

  • Matchday and event ticketing help

    Venues and clubs handle surges about ticket transfers, accessibility seating, entry problems and resale. The system answers from your ticketing platform and venue information, and sends accessibility requests to the dedicated team so they are dealt with by trained staff.

    Fans get answers before kick off, not after.

  • Travel disruption handling

    When flights from Manchester Airport are delayed or cancelled, travel firms receive a flood of rebooking and refund questions. The AI groups affected bookings, drafts the update in clear language, and queues customers with tight connections or special assistance needs for a person.

    Affected travellers hear from you first, with the right priority.

  • Passenger and commuter enquiries

    Transport and mobility firms working across Greater Manchester, including operators running services within the Bee Network, field questions about fares, lost property, accessibility and disruption. The system answers from current service information, logs lost property reports in a structured form, and routes complaints and safety concerns to the right staff.

    Commuters get current answers and serious reports reach people fast.

  • Agent coaching from real tickets

    Each agent receives a weekly digest of their own tickets where the reply was slow, inaccurate or off tone, with a better example drawn from colleagues' resolved cases. Team leaders see the patterns across the team.

    Agents improve on their own cases, not generic training.

  • Knowledge base gap finder

    When the AI cannot find an approved answer, it logs the question. Each week the content team receives the most common gaps, with sample tickets, so they write the article customers actually need next.

    The help centre grows from evidence, not guesswork.

Who this is for

Manchester teams that get the most from this.

Manchester's economy runs on brands that sell direct to consumers, media and digital businesses around Salford Quays, and a strong events and visitor trade. Most of them serve customers across the UK and abroad from a support team based in the city centre, Salford or Trafford. These are the four situations we hear most often from teams in and around Manchester, and how we would tackle each.

01

Online fashion, beauty and lifestyle retailers

Direct to consumer brands built in Greater Manchester often run on Shopify or a custom platform with a lean support team. We connect order, courier and returns data to the helpdesk, automate order status and simple returns, and give agents a single view of the customer, so peak trading does not mean weeks of backlog afterwards. Influencer drops and limited releases get their own surge rules, because the questions they trigger differ from a normal sale.

Order and courier lookups are usually built first.

02

Media, streaming and digital subscription services

The media and tech cluster at MediaCityUK includes broadcasters, production companies and digital services with large subscriber bases. Their support is mostly accounts, billing and playback problems. We build verified account actions, device troubleshooting flows and clear cancellation routes, with a knowledge base that updates when a new app version ships. Where you run your own customer app, we can add help screens inside it that pull from the same answers your agents use.

03

Football clubs, arenas and event venues

Manchester's clubs and venues serve fans and visitors from around the world, with demand peaking around fixtures, ticket releases and big concerts. We focus on ticketing integration, multilingual answers for international visitors and fast routing of accessibility and safeguarding enquiries to trained staff, while ordinary questions about entry times and bag policies are answered instantly. Season ticket renewals and membership windows are planned as separate peaks with their own answer sets.

Accessibility requests always reach a person.

04

Travel operators and airport linked businesses

Holiday companies, car parking operators and transfer firms serving Manchester Airport need to react within hours when disruption hits. We connect booking and flight data, prepare proactive updates and prioritise vulnerable travellers. Refund decisions follow your terms and the applicable passenger rights rules, with staff confirming anything outside the standard cases. Overnight disruption is covered by automated updates, with a morning queue sorted by urgency for the first shift.

How we take a Manchester support team from idea to live system.

  1. 01Peak calendar and contact reviewWe look at your busiest past periods and anonymised tickets by video call to find which questions flood in and which ones cost agents the most time.
  2. 02Answer policyYour team decides which topics can be answered automatically, which need approval and which always go to a person, written down as rules we can test.
  3. 03Data connectionsWe connect the order, ticketing, booking, subscription or courier systems the answers rely on, with read only access wherever possible.
  4. 04Build and rehearseFeatures are built in stages, then rehearsed against a replay of a past peak so you can see how the system would have coped.
  5. 05Soft launchAutomation starts on one channel or one topic, with agents reviewing a share of automated replies before the scope widens.
  6. 06Peak readiness reviewBefore each major sale, season or launch, we review surge rules, known issues and staffing signals with your team leaders.

Technology

What we build this with.

We integrate with Shopify, Magento, Salesforce Commerce Cloud, courier tracking APIs, ticketing and booking platforms, and the main helpdesks, using model providers with UK data processing terms and no training on your data. Monitoring alerts your team if answer accuracy drops or a connected system stops responding during a busy period.

01Mobile

  • Swift
  • Kotlin
  • Flutter
  • React Native

02Data and cloud

  • PostgreSQL
  • MySQL
  • MongoDB
  • AWS
  • Azure
  • Docker

03Marketing and tracking

  • GA4
  • Google Tag Manager
  • Search Console
  • Meta Pixel
  • Looker Studio

Questions Manchester brands ask before building AI support.

That depends on your integrations; we plan backwards from the date.

If your helpdesk and order platform have modern APIs, a focused first release covering order status and simple returns is a realistic target ahead of a planned peak. Custom platforms or older warehouse systems take longer to connect. We agree the date for a rehearsal against past peak data first, so any problems surface well before real customers arrive. We also agree what stays manual during the first peak, so nobody is surprised on the day.

Tell us what the business needs. We will tell you what to build first.

Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.

Get in touch

PROVEN RESULTS

4.7 / 5from 23 Google reviews