🌟 Introduction
Nearest Neighbor and Clustering are powerful spatial techniques used to assign entities to their closest point of reference or to group similar locations based on geographic or semantic similarity. Traditionally, these analyses require spatial indexing, clustering algorithms, or custom distance logic.
The Savant Nearest Neighbor & Clustering template streamlines this process, allowing you to easily assign leads to their nearest reps, match customers to locations or group points of interest by proximity or behavior – all without writing a line of code.
💼 Business Impact
This template is ideal for organizations that need to optimize assignments, define territories, or uncover spatial patterns in their data. Whether you're trying to improve customer responsiveness, balance regional workloads, or segment geographic activity, this template helps you turn raw location data into structured insight. Use cases include:
Assigning leads, deliveries, or customers to the nearest sales rep, depot, or store
Clustering stores, events, or POIs based on spatial proximity or semantic embeddings
Defining sales or service territories by grouping nearby accounts
Analyzing geographic density patterns to support expansion planning or load balancing
With Savant, location-aware assignments and clustering are fast, scalable and ready to automate.
📥 Data In
To use Savant’s Geocoding template, you need access to the following inputs:
Two-sets of Address data
📤 Data Out
The key metrics and results obtained from using the Savant template for Geocoding include:
Nearest neighbors
Clusters