Operational intelligence,
built on the point of sale.
GOLEM connects to the point-of-sale and back-office systems a business already runs. It forecasts demand, prepares ordering, pricing and staffing decisions, and executes them once an operator approves. One integration covers any POS and every location.
Integrates with the point-of-sale and finance systems already in use
The operating model
From fragmented systems to one governed operation.
Most small and mid-sized businesses run on disconnected tools, spreadsheets and the memory of a few key people. GOLEM consolidates that operating data, prepares the decisions that depend on it, and holds every action for approval.
Today
With GOLEM
One system of record for operations
Sales, stock, pricing, staffing, supplier and cash data are consolidated into a single operating view. Questions are answered from the underlying systems, not from a report assembled the week before.
Institutional memory that stays with the business
Every promotion, supplier change, weather event and shift note is retained and used in subsequent forecasts. Operating knowledge accumulates in the platform rather than leaving with individual staff.
Judgement remains with the operator
GOLEM presents options together with the data and reasoning behind them. Operators review, adjust and approve. Nothing is executed without sign-off.
Platform
One integration. Four operating functions.
GOLEM connects to the systems a business already runs, models the business overnight, and provides a single place to operate it. Cloud-hosted by default, with private deployment available.
Integrates with existing systems
Connects to the POS, payment, inventory and accounting platforms already in use. No new hardware, and no replacement of the tools staff already know.
Models the business every night
Evaluates thousands of demand scenarios against actual sales history and prepares ordering, pricing and staffing recommendations before trading begins.
Consolidates every location
Each site receives its own plan. Results roll up so performance can be compared, standardised and acted on across the whole estate.
Holds every action for approval
Price changes, orders and rota adjustments wait for explicit approval, with the reasoning and a complete audit trail attached to each one.
Forecasting
The signals your baseline cannot see.
A week-on-week average misses the market, the weather and your own price tests. Switch the signals on and off to see what each one contributes to next week's demand.
Clear and 4°C above seasonal from Friday
Saturday street market, 11:00–16:00
Midweek price test on three lines
Illustrative figures for a single site. Live forecasts are built from each business's own sales history and local conditions.
Governance
Nothing executes until someone approves it.
This is the 06:00 queue as an operator sees it. Adjust any recommendation, approve it, and watch it reach the audit log. Every action carries its reasoning and its expected impact.
Daily plan · 3 pending
Increase Saturday order across fast-moving lines
Saturday demand is forecast 18% above baseline. Current stock covers 71% of projected covers, with two lines projected to run out before 14:00.
Reduce weekend discount depth on three lines
Discounts were applied to lines already selling at full rate last weekend. Demand elasticity on these lines is low; a shallower discount holds volume.
Move one shift from Tuesday evening to Saturday midday
Tuesday evening is over-covered against forecast footfall, while Saturday midday is short by roughly one person for the market peak.
Session impact
Expected impact from approved actions
Audit log
Overnight modelling complete
06:00:00
- Approve a recommendation to write the first entry.
How it works
From integration to execution in three stages.
A single integration, an overnight modelling cycle, and a daily plan that waits for approval.
One integration across every system.
GOLEM connects to the point of sale in use, alongside payment, inventory, supplier, accounting and scheduling tools. Operating data is consolidated into a single record that can be queried directly, in plain language.
Tomorrow's trading, modelled tonight.
Each night the platform evaluates thousands of demand scenarios using sales history, local events, weather and search trends. It produces recommendations for ordering, pricing, staffing and margin, with the supporting data attached.
Review the reasoning. Approve the plan.
The daily plan is ready by 06:00. Operators review, adjust or approve each recommendation. On approval, GOLEM executes: prices are updated, orders are sent and every action is written to the audit log.
Architecture
Rigorous underneath. Straightforward to operate.
Three components, each designed so that automation stays accountable to the people running the business.
Integrates with existing infrastructure
GOLEM connects to the POS, payment and back-office systems already in place and normalises the data automatically. There is no new hardware and no migration.
- Native connectors for POS, payments, inventory, accounting and scheduling
- A single query layer across every connected system
- Cloud-hosted by default, with private deployment available
- Full visibility into what the platform is doing and why
Outcomes
Measured outcomes, from a single site to a multi-location estate.
Across inventory, pricing, labour and daily operations, GOLEM works from actual sales and local conditions rather than industry averages.
Scale 0 to 10 pts
Scale 0 to 100%
Scale 0 to 120 hrs
Scale 90 to 100%
Figures reflect early deployments and vary by business, sector and data quality.
Why now
Three shifts have made this practical.
Operational AI of this kind was not viable for small and mid-sized businesses until recently. Three developments changed that.
Point-of-sale data is now accessible
Modern POS and payment platforms expose reliable, real-time APIs. Operating data that was previously locked inside proprietary systems can now be read and acted on.
Agents are dependable enough to act
Tool-using AI agents can reason over inconsistent operational data and take bounded actions under human approval, at a cost that is viable for smaller businesses.
Margins leave no room for error
Inflation, labour costs and price pressure have compressed margins. The businesses that hold their position will be those that make full use of the data they already generate.
Principles
Built to be trusted.
The commitments that shape how the platform is designed, deployed and operated.
A different architecture
- An operating layer above the POS, rather than another reporting dashboard
- Models that improve with each deployment while customer data stays isolated
- Human approval designed into every workflow, not added afterwards
Grounded in existing operations
- Works with the systems businesses already own; no new hardware required
- Pays back through protected margin and recovered management time
- Cloud-hosted by default, with private deployment for regulated or sensitive operations
Designed to scale
- One integration layer that extends to any POS, sector or region
- Operates a single site or a multi-location estate from one place
- Supports growth from the first location to a national footprint
Request a demo
See the platform running on your own numbers.
A 30-minute session with the GOLEM AI team, using a sample of your sales data where available.
- A walkthrough of the daily plan and the approval workflow
- Integration options for your point of sale and back office
- Deployment, security and data-handling questions answered
Tell us about your business
We respond within one working day. Prefer email? Write to contact@golemai.pro.