Glenn Svendsen

Arrive (former EasyPark Group) 2023 — Ongoing

Global
Pricing
Engine

2.8B+

Requests served in 2025

6000+

Parking operators globally

100%

Uptime — last 24 months

Problem

Parking pricing across 20+ countries — different regulations, currencies, and operator models — running on a shared engine with real complexity beneath the surface. Edge cases multiplied with every new market. Operators struggled to configure correctly. Misconfigurations were common and support costs were high.

Approach

Took ownership of the domain and ran structured discovery to understand where the system was breaking down in practice. Prioritised the edge cases causing the most operator pain, worked closely with engineering to address root causes, and built a rhythm of regular user interviews to keep improvements grounded in real need.

Outcome

CSAT lifted from 66% to 87% through structured discovery and regular user interviews. Misconfigurations reduced by 36% year-on-year. The system now runs live across all active markets globally, with engineering capacity redirected from maintenance to growth.

Arrive (former EasyPark Group) 2024

Config
Copy

105s

Config time — before

27s

Config time — after

74% faster

JTBD + opportunity solution tree

Configuration time — before vs. after copy functionality

Before

105s

After

27s

Problem

Operators were rebuilding similar configurations from scratch — repetitive, error-prone, and slow. Every duplicate setup carried the same risk of misconfiguration.

Approach

Used Jobs to Be Done and opportunity solution tree mapping to understand operator workflows in depth. Identified that a copy/duplicate function addressed the core job — not a nice-to-have, but the missing piece.

Outcome

Configuration time dropped from 105 to 27 seconds — a 74% reduction. Error rates fell. Operators moved faster with more confidence, and support load dropped alongside it.

Arrive (former EasyPark Group) 2024

Background
Validation

33

Parameters validated per config

36%

Fewer misconfigurations YoY

Silent

Zero workflow interruptions

3

2

1

Background validation

33 / 33

✕

PRICE_SPIKE_MEDIAN

Table 'Weekend'›Period 3

Review

✕

OVERLAPPING_TABLE_DATES

Tables 'Standard'›'Holiday'

Review

!

ZERO_PRICE

Table 'Standard'›Period 7

Review

✓

MAX_PARKING_FEE_ZERO

Acknowledged·2 min ago

Restore

Problem

Misconfigurations were frequent and hard to detect. Operators often didn't know something was wrong until it had real-world consequences — incorrect pricing live in market, support escalations, and eroded trust in the system.

Approach

Ran a deep-dive root cause analysis across misconfiguration reports to find patterns. Most errors fell into predictable categories: price spikes above the median or adjacent-unit threshold, zero prices on active periods, cap fields set to zero, date ranges where validFrom exceeded validTo, and pricing tables that had expired or left gaps in coverage. Designed a background validation tool that checks 33 parameters silently on every save — surfacing issues as non-intrusive notifications, never blocking the workflow.

Outcome

Misconfigurations reduced by 36% year-on-year. Operators get immediate visibility into potential issues without friction. Errors are caught at the source before reaching live pricing — and acknowledged issues leave a clear audit trail.

Arrive (former EasyPark Group) 2024

Mass Price
Validator

0

Holiday incidents since release

< 1hr

AI prototype built live on stakeholder call · validated · handed to eng

US

Nationwide · thousands of zones

▶ Running

Jul 4 Nov 28 Dec 25

Problem

Configuration experts managing parking across major US cities faced a scale problem: a single nationwide holiday across thousands of zones meant one missed configuration could result in drivers being charged when parking should have been free.

Approach

Built a working prototype with AI during the stakeholder call itself — validated live, iterated on the spot, and confirmed as the right solution within the hour. Handed off to engineering the same day to build it securely and properly. The tool lets users select multiple holiday dates, configure time windows and durations, then fire price calls across the full zone estate. A "Check Free Holiday" mode highlights any zone returning a price above zero.

Outcome

Zero holiday-related pricing incidents reported since release. The tool's flexibility made it useful beyond holidays — it's now a general-purpose pricing QA tool used by configuration experts across markets.

Arrive (former EasyPark Group) 2022 — 2024

Platform
Migration

35+

Distinct gaps identified & closed

18 mo

End-to-end project span

Auto

Programmatic migration jobs — no manual rework

Calculation engine 12 gaps

Configuration UI 10 gaps

Migration jobs 7 gaps

Tariff types 4 new

Simulation tools 4 new

Start

18 months · complete

Problem

A legacy parking platform was being sunset. Before migration could begin, every configuration model, tariff type, and pricing behaviour had to be mapped against the new platform — with gaps documented, prioritised, and closed without disrupting live markets.

Approach

Led systematic gap discovery across the full platform scope — calculation engine, configuration UI, tariff types, and operator workflows. Identified 35+ distinct gaps. Built simulation tools to verify pricing parity between legacy and new outputs. A new tariff type was created to cover previously unsupported configurations. Automated migration jobs handled the bulk transfer at scale.

Outcome

All 35+ gaps identified, scoped, and closed over 18 months. Pricing parity validated across all migrated markets. Programmatic migration jobs eliminated manual rework. The platform migration completed with no pricing incidents in production.

Arrive (former EasyPark Group) 2024

Self-Service
Discovery

5650+

EU operators scored & segmented

52%

Immediate self-service candidates

24

Self-serviceable tariff fields

Cumulative operator coverage by feature tier EU · 5,641 operators

10.3%

Simple

41.7%

Moderate ← 52% self-service ready

23.1%

Complex

25.0%

Very Complex

Problem

Operators had no ability to update their own pricing. Every rate change — however routine — required a configuration expert. The question was whether a self-service product was viable, and if so, what exactly would it need to cover to be useful to the breadth of the operator base.

Approach

Pulled operator and tariff data from Snowflake for 5,650+ EU operators. Built a 0–25 complexity scoring model across 39 configuration dimensions, segmenting the operator base into four tiers. Mapped all 40 tariff fields for self-serviceability. Modelled a feature milestone roadmap showing the cumulative operator coverage unlocked at each tier — revealing that 8 feature tiers alone would cover 71% of all operators.

Outcome

Delivered a data-backed MVP scope with quantified coverage at every feature milestone. Identified that 52% of operators are immediately viable candidates. Price changes — the most requested operator action — emerged as the clearest, highest-value starting point for any self-service feature.

GlennSvendsen

Brief.

GlobalPricingEngine

ConfigCopy

BackgroundValidation

Mass PriceValidator

PlatformMigration

Self-ServiceDiscovery

Glenn
Svendsen

Global
Pricing
Engine

Config
Copy

Background
Validation

Mass Price
Validator

Platform
Migration

Self-Service
Discovery