Finding the nearest location sounds simple — until you have to do it manually over and over again.

One of our clients faced this exact problem.

They had multiple trainers across the U.S., and every time a new patient needed training, someone had to manually check Google Maps to find the closest available trainer.

That process was slow, repetitive, and not scalable.

The Problem

Here’s what their workflow looked like:

Enter patient address into Google Maps

Check trainer locations one by one

Estimate distance manually

Repeat for every request

This created:

Time delays

Human errors

Inefficient scheduling

They needed a better way.

The Goal

The objective was simple:

Automatically find the nearest trainer

Reduce manual work

Improve assignment accuracy

Scale the process

The Solution

We integrated Google Location API with a Microsoft Access database.

Instead of manually checking maps, the system:

Stores trainer locations in Access

Sends address data to Google API

Calculates driving distance…