Services · Mobile app development · AI sales assistant apps
Codeeo provides AI sales assistant development Manchester online retailers, software scale-ups and property operators can put in front of buyers on their store, app and WhatsApp. The assistant recommends the right product or plan, answers pre-purchase questions from your real catalogue and policies, books demos or viewings, and records each conversation against the customer in your CRM or ecommerce platform. Shoppers get a quick, accurate answer, and your sales team picks up only the conversations that need a human touch.
Greater Manchester mixes direct-to-consumer brands, a large student and young professional population, and fast-growing tech and media firms around MediaCityUK in Salford. Each of those buyers expects something different, so we design the assistant around the one you sell to. A student comparing rooms, a buyer of trainers and an operations director evaluating software should not hear the same script.
200+ companies servedFrom a first store to an ADX listed developer
Inside the assistant
Plenty of Manchester's sales happen without a salesperson. A shopper on a fashion site decides at eleven at night whether a size will fit; a student flat hunter compares three buildings on a phone during a lecture; a marketing manager signs up for a software trial and abandons it after one login. An assistant earns its place by catching those moments.
Custom AI sales assistant development Manchester businesses ask us for usually combines a customer-facing assistant with a few internal tools for the sales or customer team. We pick from the capabilities below, connect them to Shopify, your CRM or your property management system, and keep the first release small enough to launch quickly. Once it proves itself on one channel, extending it to the next is mostly configuration rather than new engineering.
Shoppers describe what they want in their own words, and the assistant narrows your catalogue by size, material, use or budget band. It explains why each suggestion fits, draws on your size guides and reviews, and adds items to the basket on request.
Fewer shoppers leave because they could not decide between options.
Delivery cut-offs, returns windows, click and collect and stock in a particular colourway are the questions that stop a sale. The assistant answers from your live policies and stock, and hands to customer service for anything about an existing order.
Doubts are cleared at the moment of purchase, not by email the next day.
Many Manchester shoppers would rather message than browse. We connect the assistant to the WhatsApp Business Platform, with opt-in recorded before any promotional message, and let your team join a chat at any point from a shared inbox.
A familiar channel becomes a measurable sales channel.
For SaaS companies in the Northern Quarter, Manchester Science Park or Salford, the assistant spots trial users who match your target customer, offers help when product usage stalls, and books a demo with an account executive once intent is clear.
Sales time goes to trials with a real chance of converting.
Build-to-rent and student accommodation operators receive enquiries in waves around term dates. The assistant answers questions about rooms, bills and move-in dates from your approved particulars, checks eligibility questions you set, and books viewings or virtual tours into staff diaries.
Leasing teams handle peak season without missing enquiries.
The assistant can only quote prices, offers and delivery times that exist in your systems at that moment. It cannot invent a discount, make claims your marketing team has not approved, or describe a product feature that is not in the data.
Customers are never promised something your business cannot honour.
We link the assistant to Shopify, WooCommerce or a headless commerce setup, and to HubSpot, Klaviyo or your CRM, so recommendations reflect live stock and each conversation enriches the customer profile, subject to the consent the customer gave.
Marketing and sales see the same customer history.
Reports show which questions came before abandoned baskets, which products shoppers compared, and where the assistant had no answer. Merchandisers and product owners use these findings to fix descriptions, size guides and pricing pages.
Each week's conversations improve the next week's store.
Digital agencies around Ancoats and MediaCityUK can resell the assistant to their own retail clients, with separate knowledge bases, branding and reporting per client, managed from one admin panel your agency controls.
Agencies add an AI sales product without building one themselves.
Behind the scenes, your team gets a helper inside the shared inbox. It reads an incoming wholesale, partnership or bulk order enquiry, pulls the relevant product sheets and past emails with that customer, and drafts a reply that a person checks, edits and sends.
Trade and partnership enquiries get a considered reply on the same day.
Who it suits
Greater Manchester has a strong base of online retail, a large rental market shaped by its universities, and a growing cluster of software and media firms. Those three groups share a problem: buyers ask lots of small questions, often out of hours, and a slow answer costs the sale. When you shortlist an AI sales assistant development company Manchester teams can rely on, check that it understands which of these patterns you are in, because the assistant for each looks quite different. A team that builds the same widget for everyone will struggle with at least two of them.
Manchester is home to a number of fast-growing online fashion, beauty and lifestyle brands. Their sites carry large ranges that change every week, and shoppers need help with fit, fabric and delivery more than with finding the search box. An assistant tied to live stock and size data acts like a knowledgeable shop floor colleague, and its conversation logs tell the buying team what customers wanted but could not find.
Works best with clean product attributes and size data.
Software firms that grew out of the city's tech scene often run product-led sales: free trials first, sales calls later. The assistant watches for signs of serious intent, answers technical and pricing page questions accurately, and books the conversation at the right moment. It also gives smaller sales teams cover for European and US prospects who arrive outside Manchester working hours.
Needs access to product usage events to qualify trials well.
With the University of Manchester, Manchester Metropolitan University and the University of Salford nearby, purpose-built student and rental housing is a big market here. Enquiries cluster around clearing, term starts and the spring booking rush, and many come from international students and their parents. The assistant handles the volume in several languages and books viewings without stretching the leasing team.
Eligibility and referencing rules stay under your control.
Agencies in Ancoats, the Northern Quarter and around Salford Quays want AI products to offer their clients, and media businesses want to sell advertising, sponsorship and events more efficiently. We build a multi-client assistant for the first and an inbound qualification assistant for the second, both reporting into the CRM the commercial team already uses.
White-label builds include per-client data separation.
Engagement
Codeeo has no office in Manchester. We are a team of 80+ working from Dubai, Riyadh and Karachi, with 200+ projects delivered across the UAE and the US and a 4.7 rating from 23 Google reviews. For Manchester clients everything runs remotely: discovery, design reviews, demos and launch checks take place by video call, with notes and decisions shared in writing afterwards. You get a delivery lead who knows your project, plus access to the designers and engineers doing the work. The meeting rhythm is agreed with you at the outset.
Retail clients usually want the assistant ready before a peak trading period such as Black Friday or the back to university rush, so we plan backwards from those dates and agree what can sensibly be live by then. Features that would be risky to launch during a peak are scheduled for the quieter weeks afterwards.
A defined build with a deadline
We agree what the product has to do, write it down with a price and a date, and build exactly that. Changes are priced before they are made, not discovered on the invoice.
A product that keeps evolving
Named engineers who work your hours, join your standups and stay on the codebase. You direct the backlog; we own the quality of what ships.
Something live that needs looking after
A monthly block of hours for improvements, fixes and the small requests that otherwise wait months. Unused hours carry for a quarter.
Technology
The AI sales assistant developers Manchester clients work with on our team build on Shopify, WooCommerce, headless commerce stacks, HubSpot, Klaviyo and Salesforce, and on Meta's WhatsApp Business Platform. Models are selected per task, with UK or EU hosting where your policies need it.
01Mobile
02Data and cloud
03Marketing and tracking
We aim for an early first channel, then expand.
The fastest route is one channel, usually web chat on your store or site, answering from data that is already in good shape. Adding WhatsApp, an app, viewing bookings or trial scoring each adds work. After the data audit we agree a phased plan with dates written into the plan, and we tell you openly if your product data needs cleaning before launch, because that is usually what decides how soon the first phase can go live. Peak trading dates are factored in so launch never lands in your busiest week.
Schedule a free consultation and get a written recommendation, with costs, before you commit to anything.
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