Primary Challenge
StoreSpace operated 50+ self-storage facilities with manual pricing decisions, inefficient space allocation, and high customer acquisition costs. Occupancy rates varied wildly between locations with no unified data strategy.
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Logistics & Storage
AI-Powered Storage Operations
40% improvement in space utilization, 60% faster customer onboarding
Client: StoreSpace
40% improvement in space utilization, 60% faster customer onboarding
Overview
Intelligent storage management platform with predictive demand forecasting, dynamic pricing optimization, and automated facility operations for self-storage chains.
The Problem
StoreSpace operated 50+ self-storage facilities with manual pricing decisions, inefficient space allocation, and high customer acquisition costs. Occupancy rates varied wildly between locations with no unified data strategy.
Key Challenges
Approach
01
Implementation Approach
We built an AI-powered operations platform that analyzes market conditions, competitor pricing, seasonal patterns, and customer behavior to optimize rates in real-time. Computer vision monitors facility occupancy and suggests space reallocation. An AI chatbot handles 80% of customer inquiries and bookings.
Technology Stack
Core Stack
PythonTensorFlowReact NativeAWSComputer VisionNLP
Outcomes
Space Utilization
+40%
40% improvement in space utilization, 60% faster customer onboarding
Revenue per sqft
+28%
40% improvement in space utilization, 60% faster customer onboarding
Customer Onboarding
60% faster
40% improvement in space utilization, 60% faster customer onboarding
Support Tickets
-70%
40% improvement in space utilization, 60% faster customer onboarding
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Delivery available from Bengaluru and Coimbatore teams, with remote implementation across India.