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Use cases · Multi-site trading

Multi-site trading

Retail & hospitality groups

A site cannot trade without connectivity, payments and printers. The desk has to know which site is losing money right now.

The situation

How IT usually works in this setting

Trading sites depend on a small set of systems — network, point of sale, printing, ordering — and a failure at a busy site is measured in lost sales, not in tickets.

What it costs you today

  • A site outage and a software question carry the same weight in a shared inbox.
  • Support depends on someone being able to describe what is wrong over the phone.
  • Nobody correlates repeat faults with a particular site, model or supplier.
  • Rolling out a change to twenty sites is a manual checklist and a lot of hope.

What the desk does about it

  • Trading impact sets the priority — Site-down incidents carry their own deadlines and page the right people, whatever else is in the queue.
  • Repeat faults become visible — Tickets are linked to the site, the asset and the supplier, so a pattern shows up as a report before it shows up as a third outage.
  • Rollouts you can follow — A change across sites is tracked as a piece of work with per-site status, not as a trail of email.
  • One desk across the group — Franchise, company-owned and support-office sites are separate tenants on one platform, sharing the template and nothing else.
The walkthrough

“Three sites, same printer fault, one supplier”

Stop paying for the same fault three times.

What we show you, in order

A 20-site hospitality group, mixed franchise

  1. Register each site as a location with its own asset list and vendor contacts.
  2. Raise the same fault through the portal as it appears at each site.
  3. Group the tickets, and the pattern is visible: one model of printer, one firmware.
  4. Draft the vendor escalation with three site records attached, from the platform.
  5. Set a knowledge article so the next occurrence is recognised and fixed on the spot.

Why it lands

A supplier conversation backed by evidence, and a fault that stops recurring.

The records used in this walkthrough are fictional, exactly like the sample screens elsewhere on this site. Real hospital and site coordinates are used for realism; real people are not.

What we can stand behind

  • Per-site reporting and per-site assets, with group-level roll-up for head office.
  • Incident priority set by trading impact, with per-team deadlines.
  • Vendor and supplier details attached to the asset, not to someone's contact list.
  • Portal and email both feed one queue, whichever the site manager prefers.

What we would need from you

  1. The site list, with hours and who is on site.
  2. The systems that stop trading when they fail.
  3. Your vendor and support contracts, and their response times.
  4. One live site to pilot, chosen for a real problem rather than an easy one.
Nothing on this page is a quote. Configurations are agreed in writing before work starts, and every stage is a stop point you can decline.
Underneath

What every one of these has in common.

The configuration changes by sector. The platform underneath it does not: one record per request, service levels per team, and tenancy enforced on the server.

One request, everything attached to it

The same data model behind all eight situations — which is why a sector change is a configuration change rather than a new product.

RecordAI touchpoint
One ticket one timeline Asset & warranty the device, its owner, its life Person who asked, who is accountable Knowledge the fix, versioned, reusable SLA & OLA who owes what, by when Reporting the month, without a spreadsheet

Bring three real requests to a 20-minute demo.

We work them in your categories and your priorities, then run the isolation test. If it is not a fit, we will say so in the call.