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Decision support

Deployment Opportunity Model.

A transparent way to test what a deployment would have to look like at your destination. Every assumption is yours to change, and every number below is derived from those assumptions — not from Knull performance data.

Illustrative only

This tool produces modelled figures from inputs you control. It is not a forecast, a quotation, or a report of observed results. Model version 1.0 — August 2026.

01Your assumptions

Set the inputs.

12,000,000

Total recorded visits to the destination across a year.

45%

Share of visits where a trolley could plausibly be used — larger shops, family visits, multi-level trips.

3%

Share of eligible visits that actually start a session. Keep this conservative for a first deployment.

120

Number of trolleys deployed across the destination.

360

Days the destination is open and the service is live.

45 min

Minutes between release and return, including time parked mid-visit.

12 h

Hours per trading day the service is available to shoppers.

2

Illustrative only. Actual pricing is agreed per destination and may be zero where the service is funded by the operator.

02Modelled outcome

What that implies.

Modelled annual sessions
162,000
Average sessions per day
450
Sessions per trolley per day
3.8
Fleet utilisation
23.4%
Suggested fleet for demand
44
Modelled service value
324,000

Sensitivity band (±20% adoption)

129,600194,400 sessions per year

Band shows the modelled range if adoption lands 20% below or above your input; the marker is your current assumption.

Figures are modelled from the inputs above and are illustrative. They do not represent measured Knull performance, a service commitment, or a price.

03Method

Every assumption, stated plainly.

If a number here is going to inform a decision, you should be able to see exactly how it was produced.

Sessions are derived, not observed

Annual sessions = footfall × eligible share × adoption. All three are your inputs; none is a measured Knull figure.

Capacity is theoretical

Daily capacity = fleet × (service hours ÷ average session length). Real capacity is lower because of peak concentration, charging and servicing.

Fleet sizing carries headroom

Suggested fleet serves modelled demand at 65% of theoretical capacity so peak hours are not run at the limit.

Sensitivity band is fixed at ±20%

A deliberately wide band. It is a reminder that adoption is the least certain input, not a statistical confidence interval.

No cost side is modelled

The model deliberately excludes capital, operating and staffing costs, because those are set by the commercial structure agreed for each destination.

04Next step

Have us review your model.

Send the assumptions you have landed on and we will tell you which ones we would challenge, and what a site assessment would need to confirm.

01About you

Only what we need to reply to the right person. Four required fields, nothing else.

02Your destination

Used to size a deployment before we speak — dock count, unit count and the peak trading window.

How many sites this enquiry covers.

03Your enquiry

Routing. It decides who replies and what they bring to the first call.

Levels, entrances, peak trading windows, timelines.

We use your details only to respond to this enquiry. See our privacy policy.

Next step

From model to assessment.

A site walk replaces the assumptions in this tool with facts about your destination.