How is Where-I's 4.3x ROI claim validated?

The 4.3x average ROI within the first 12 months is from a Forrester Total Economic Impact study commissioned by Where-I and published in Q2 2024. The study covered a composite customer organization built from surveyed enterprise deployments and modelled quantified benefits across site selection, route optimization, and analyst productivity.

Which industries does Where-I serve?

Where-I serves operations and logistics, real estate and retail site selection, field service and last-mile delivery, public-sector planning and GIS, marketing and trade-area analysis, insurance risk and underwriting, and CFO/strategy teams measuring geographic exposure. Deployments span 47 countries.

How large are the customers using Where-I?

Where-I is trusted by 2,400+ enterprise and public-sector teams, including 9 of the Fortune 100 and 4 of the top 10 U.S. retail banks. The platform processes 6.2 billion geospatial events per day at peak and is used daily by 38,000 analysts and operations managers worldwide.

Can I speak with a reference customer before booking a demo?

Yes. When you request a live demo through the form on this page, you can indicate you'd like a reference call. Where-I's solutions engineers will arrange a conversation with a relevant deployment in your industry and, where possible, your region.

Customers & Reference Deployments

2,400+ teams across 47 countries rely on Where-I as their single source of geospatial truth.

What follows is not product marketing. It is a record of validated customer outcomes — site-selection cycles shortened, last-mile routes re-engineered, public-sector plans stress-tested — measured against the third-party benchmarks procurement and strategy leads ask for first.

Get a live demo Or talk to an engineer →

Customers: 2,400+
Countries: 47
Analysts using Where-I daily: 38,000
Avg. ROI, year one: 4.3×

Duotone map excerpt showing a metropolitan catchment analysis. — Figure 01 — Catchment modelled on a Where-I tile layer, 14-layer geocoding, rooftop precision.

A note on evidence

The page is third-party-verified impact — not self-reported anecdotes.

Every figure cited below comes from one of three places: a named Forrester study, the 2024 GeoAnalytics Compass Report, or a customer reference that has agreed to be quoted by name and industry. Where-I has been a Leader in the Compass Report for three consecutive years and was named #1 for innovation in 2024. Forrester's Q2 2024 Total Economic Impact study validated an average 4.3× ROI within the first twelve months across the composite customer organization.

Read this page the way a procurement lead would: who is using the platform, at what scale, in which regulated environments, and with what measurable return. Then book the demo.

Duotone map of three candidate retail sites with catchment isochrones.

Figure 02 — Site-selection model, anonymized composite customer.

Real estate & retail site selection

A national retail network compressed its site-selection cycle from 14 weeks to 4.

Baseline: 14 weeks from candidate address to signed lease across 240 new stores, with three disconnected GIS, demographic, and traffic datasets reconciled manually.

Deployment: Where-I's 14-layer geocoder resolved 99.4% of candidate addresses to rooftop precision, GeoGPT queries replaced six internal dashboards, and the network planning team ran catchment and cannibalization models in a single workspace.

Cycle time: −71%
Candidates evaluated: 1,840
Stores opened, year one: 238

Last-mile logistics

A European parcel carrier re-cut 312 delivery routes and reclaimed 9.4% of fleet hours per week.

Baseline: 312 daily routes planned in a legacy routing tool with no live mobility layer, no address-quality feedback, and no per-stop dwell model.

Deployment: Where-I fused telematics, address-quality, and foot-traffic layers; the operations team re-optimized routes nightly using GeoGPT queries against the platform.

Fleet hours recovered: 9.4%
Failed deliveries: −22%
Routes re-cut per day: 312

Public-sector planning

A state transportation agency modeled corridor risk across 14,000 miles of roadway in 11 days.

Baseline: A five-year corridor study, originally scoped at 18 months, stalled on address-resolution quality for rural post-office boxes and unmapped subdivisions.

Deployment: Where-I's 14-layer geocoder resolved the rural addresses competing vendors had dropped; the agency ran scenario forecasts inside the platform's query console.

Roadway modeled: 14,000 mi
Original timeline: 18 mo
Actual timeline: 11 d

Insurance risk

A specialty insurer re-priced 1.1M residential policies against a unified peril layer.

Baseline: Property-level peril scores were refreshed quarterly from a third-party tile vendor, with no way to overlay claims, inspections, or sensor feeds.

Deployment: Where-I consolidated peril, claims, and IoT sensor streams into one queryable spatial layer; underwriting re-priced nightly instead of quarterly.

Policies re-priced: 1.1M
Refresh cadence: Quarterly → Nightly
Loss-ratio improvement: 3.8 pts

Retail banking · Fortune 100

One of the four largest U.S. retail banks unified 11 regional geomarts onto Where-I.

Baseline: 11 regional geomarts, four address vendors, and a 6-month backlog of branch-network scenario requests sitting in the GIS team's queue.

Deployment: Where-I replaced the four address vendors, consolidated the geomarts, and gave the strategy team a GeoGPT interface for branch and ATM cannibalization analysis.

Address vendors consolidated: 4 → 1
Regional geomarts retired: 11
Scenario backlog cleared: 6 mo

Selected customers, by tier

Enterprise and financial-services authority, at a glance.

Where-I powers location intelligence for 9 of the Fortune 100 and 4 of the top 10 U.S. retail banks. The logos below are arranged by industry. Anonymized composites are used where customer agreements restrict named attribution.

Fortune 100 · 9 of 100

NORTHWIND GROUP
ATLAS RETAIL CO.
MERIDIAN LOGISTICS
POLARIS ENERGY
FENWICK & VANE
BRIGHTLINE MOTORS

Top 10 U.S. retail banks · 4 of 10

First Meridian Bank
Coastal Trust, N.A.
Inland Federal
Beacon Savings

Public sector · selected agencies

U.S. Dept. of Transportation
State of Massachusetts
Transport for London
Singapore LTA
City of Toronto
NSW Planning

Logistics, insurance, retail

POSTE EUROP
Garuda Freight
Pelican Insurance
Sentinel Re
HARBOR & CO.
Marlow Outfitters

Logos shown as anonymized composites where customer agreements restrict named attribution. A full reference list, sorted by industry and deployment size, is shared with verified prospects under NDA.

Forrester Total Economic Impact · Q2 2024

A third party measured the return. The number is 4.3×.

Forrester Consulting's Total Economic Impact™ study of Where-I (Q2 2024) modeled a composite customer organization across platform licensing, integration, and operations. The findings are reproduced below verbatim from the published report.

4.3× Return on investment, year one Composite customer, three-year NPV-positive.

< 11 mo Payback period From platform go-live to net-positive run rate.

71% Reduction in site-selection cycle time Across 2,300+ enterprise deployments.

99.4% Address match to rooftop precision 14-layer geocoder, including rural POIs.

Source: The Total Economic Impact™ of Where-I, Forrester Consulting, commissioned by Where-I, Inc., Q2 2024. Independent; not commissioned by any single customer.

Next step

The evidence is on this page. The next step is a live demo.

Bring your own data. In a 40-minute working session with the Where-I engineering team, we will load a sample of your addresses, mobility feed, or sensor stream and model a question you actually need answered — catchment, route, risk, or forecast — in front of you. No slides.