Founder · Operator

ZAPT

Powerbank rental kiosks for UK venues. I run the operations and software end to end.

What I did

From product sourcing to operating system.

Sourced the product

Travelled to China, met the factory, identified the white-label hardware, set the supplier relationship, and shipped the first units to the UK.

Built the brand

Formed the company, registered the trademark, set up domains and business emails, designed and shipped the marketing site.

Deployed the hardware

Bought the machines, signed the first venues, handled installs and on-site setup. Got the network live.

Split the role

Ground operations and venue acquisition sit with a partner. I run the operating system: software, ops, intelligence.

Built Oracle

Custom operational intelligence software. The system that runs ZAPT day to day. Detail below.

Oracle

The system that runs the business.

Most SMB ops stacks have the same shape: good source data, thin tooling above it. The hardware vendor exposes a deep API; I built the operating layer on top. One operator's view of the whole business, replacing the dozen spreadsheets and vendor tabs I'd otherwise live in.

Oracle dashboard: total revenue with month-on-month comparison, stations online, today/active/hours stats, monthly revenue and rentals charts, and venue performance leaderboard. Sidebar shows the operation modules: Dashboard, Deployments, Replenishments, Rentals, Payouts, Outreach.

Dynamic pricing

Tiered pricing managed in Oracle and pushed to the vendor by cron. Tiers tune to the usage patterns below.

Automatic commission

Calculated per rental, formatted into the venue's report, sent in one click. Replaces hours of admin per venue every cycle.

Predictive replenishment

Predicts powerbank depletion from rental history and station distribution. When stock drops below threshold, a top-up kicks off automatically. Customers don't show up to an empty kiosk.

Competitor intelligence

Every UK competitor mapped by brand and density. Used to qualify expansion targets, identify gaps, and benchmark venue performance against the market.

Venue setup, one form

One Oracle form pushes to Stripe and the hardware vendor's API in a single action. No tab-switching, no copy-paste, no forgotten step.

Usage intelligence

Every pricing call runs on this data.

Pricing tiers, replenishment timing, and venue qualification all read from the same usage dataset. Tiers exist because demand isn't flat across hours and days.

Heatmap of rental demand by hour of day and day of week, concentrated in evenings and weekends.

Commission reporting

Quarterly payouts in one click.

Every rental contributes to a venue's commission. Oracle tracks every payout in a quarterly matrix. One action from a row sends a branded email with the line-by-line PDF attached. What used to be hours of admin per venue is now a single click.

Oracle commission matrix: quarterly view showing every venue, the rate, and the per-quarter commission. A row context menu reveals Mark as Paid, View Breakdown, Download PDF report, and Send report by email. — 01 · Operator action

A ZAPT quarterly payout email sent to the venue: total commission, rental count, commission rate, and best month and busiest day highlights. — 02 · Email lands in venue inbox

Market intelligence

Every UK competitor, mapped.

Every kiosk from every UK competitor, plotted by brand and by density. The map shows where the market is saturated and where the gaps are. Venue outreach runs into the open space, not against incumbents, and venue performance is benchmarked against the local competitor footprint.

Now

Where it stands.

ZAPT runs on the operations and software I built. 50,000+ rental hours through the network, predictive replenishment keeping stations stocked, quarterly payouts going out in one click.

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