Manual processes
Spreadsheets, notes, ad hoc exports, till reads, PDQ totals, and group chats still carry too much of the operation.
Tools for operators. Intelligence for partners.
Free edge-native tools for hospitality venues. Anonymised operational intelligence for partners.
GiM Operations builds lightweight tools that help hospitality teams work faster on the systems they already have — while exploring aggregate, privacy-conscious signals that suppliers and partners cannot usually see.
ABV: Always Bring Value. Free tools first. Signal second.
Service note: Because 'just export the spreadsheet' is not an operating model.
Member networks
Connected into serious builder and hospitality-adjacent networks.
GiM Operations Ltd is a member of Barclays Eagle Labs, Techscaler, and CodeBase communities.
The problem
Legacy hospitality still runs on invisible work
Independent venues and legacy hospitality sites rely on manual processes, fragmented tools, staff memory, old POS systems, spreadsheets, group chats, and late-night reconciliation. Suppliers and partners often see orders, invoices, and account notes — but not the operational behaviour that happens before those records exist.
Staff memory
Knowledge leaves with every shift change.
Old POS systems
Legacy systems do not expose clean, modern operational data.
Close-down reconciliation
Managers still hunt variance after service, when everyone is tired.
Hidden pre-order behaviour
Suppliers see orders, not the moments before them.
Service note: No exhausted manager has ever said, 'What I need right now is another portal.'
GiM operating family
Products with a job in service.
GiM Operations uses small, practical tools to solve immediate venue problems before asking for deeper commercial conversations. The portfolio should feel closer to a supplier range than a software menu.
MiX
Fast spec lookup for bar teams
MiX is built and pilot-ready. It helps staff find cocktail specs, serves, ingredients, venue notes, and training references during live service.
For the bartender who does not have time to scroll through a PDF while six people stare at them.
EON Live Variance Tool
End-of-night reconciliation support
A future build track for reducing variance stress across POS, PDQ, cash, and close-down reports. EON is not part of the current pilot-ready toolset.
GiM
Edge-native venue utility layer
GiM is built and pilot-ready as a local-first utility layer for turning venue-side operational events into structured signals without forcing new hardware or disruptive installs.
GiM Index
Aggregate hospitality signal layer
A proposed anonymised index of operational patterns from independent and legacy venues, designed around aggregate insight rather than individual surveillance. It is not a current pilot-ready product.
The Void
The Void is GiM's discard-first privacy layer: data that is not needed for a defined signal should not be collected, stored, or sold.
Service note: Some data is not an asset. It is liability wearing a nice jacket.
Independent Bar Signal Project
What can suppliers learn before the order?
Suppliers can usually see what venues order. They often cannot see what staff search for, forget, substitute, or clarify before the order happens.
The Independent Bar Signal Project tests whether anonymised lookup behaviour from MiX can reveal useful pre-order signals around brand recall, training gaps, menu execution, and substitution risk.
Early-stage pilot hypothesis. Not a claim of existing market-scale data.
Brand recall
Are staff remembering the brand or only the category?
Bartender education gaps
Which serves need repeated lookup support?
Menu activation performance
Are promoted serves actually visible in staff workflows?
Generic substitution risk
Where might named products be replaced by generic category behaviour?
Field sales prioritisation
Which accounts show signals that support is needed?
Independent venue visibility
Where are useful signals currently trapped outside supplier systems?
Pre-order signal intelligence
Example signals
Illustrative examples only. Not live venue data.
Brand recall gap
Staff repeatedly search 'Paloma,' but rarely search the named tequila brand in the venue spec.
Possible signal:The serve is known, but brand association may be weak.
Activation visibility gap
A promoted gin spritz receives low lookup activity during service.
Possible signal:The serve may not be visible enough to staff.
Generic substitution risk
Staff search 'margarita recipe' more often than the venue's branded margarita spec.
Possible signal:Training or menu recall may need support.
Service note: Menus do not fail in meetings. They fail when a new starter has to make the thing during a rush.
Venue-first. Privacy-conscious.
Aggregate by design.
MiX is not staff surveillance.
The supplier signal layer is intended to work from aggregate operational patterns, not individual worker monitoring or customer-level data.
- No customer personal data required.
- No payment card data required.
- No CCTV required for MiX supplier signals.
- No individual staff performance scoring.
- Aggregate supplier view only.
- Venue utility comes first.
Service note: The fastest way to make a useful system radioactive is to collect data it never needed.
Pilot proposal
Simple, fair, and honest
GiM Operations is looking for a small number of Edinburgh hospitality venues and supplier-side observers to pilot MiX and GiM, and to test whether pre-order staff lookup behaviour can produce useful, privacy-conscious aggregate insight.
Supplier-side people
Test the supplier signal.
Is pre-order staff lookup behaviour useful, obvious, nonsense, already solved, or commercially valuable but hard to act on?