Surveyors were manually logging 100+ items per property, turning each survey into a time-intensive task. As volume increased, so did delays, fatigue, and dependency on individual accuracy.
AI-Powered Field Survey for a Large-Scale Relocation Operator
AI-Powered Surveys
Client
A Large-Scale Relocation & Logistics Operator
Industry
Relocation Services, Logistics, Inventory Management
Our Contributions
• Mobile app development (Flutter) • AI object detection integration (Gemini) • Inventory and volume calculation engine • Web admin panel integration • REST API architecture with data sync • Real-time survey automation.
Overview
Modernizing moving surveys with AI-powered inventory operations.
A large-scale relocation and inventory management business was struggling with slow, manual survey workflows that relied on handwritten item logging, manual measurements, and disconnected systems. These processes often led to inaccurate volume estimations, delayed quotations, and inefficient coordination between field surveyors and back-office teams. Kombee provided an AI-powered survey and inventory management mobile app that replaces manual input with intelligent, camera-based capture. Using multimodal AI (Gemini), objects are detected and converted into structured data in real time.
The Challenges
Hundreds of Surveys. One Fragmented Process.
A high-volume relocation enterprise handling hundreds of surveys across regions reached a point where its manual, paper-based process was no longer sustainable.
The brand faced several challenges:
The Solution
Turning Surveys into a Real-Time, Intelligent System
Kombee delivered a production-grade mobile application designed to replace manual survey workflows with an intelligent, automated system. Kombee provided an AI-powered survey and inventory management mobile app. It utilizes multimodal AI (Gemini) to detect objects via the device camera. The tech stack includes Flutter, Gemini AI API, and REST APIs, enabling a scalable, high-performance architecture. What changed wasn’t just how surveys were done; it was how data was entered, moved, and powered decisions across the organization.
01
Eliminating Manual Input at the Source
Instead of spending hours documenting items, surveyors now begin with a single action: capturing an image. That image is processed through multimodal AI, which identifies objects and converts them into structured data complete with dimensions and estimated weight. What was once manual, repetitive, and error-prone is now consistent, fast, and machine-driven.
The biggest inefficiency wasn’t in processing; it was in how data was captured.
01Eliminating Manual Input at the Source
02
Standardizing What Used to Be Human Judgment
The platform introduces a persistent, room-wise inventory system that behaves like a live calculation engine. As items are added or modified, volume and weight are recalculated instantly, with unit normalization handled automatically. This ensures every survey follows the same logic, removing variability and standardizing outputs across the entire operation.
Faster workflows meant little without consistency.
02Standardizing What Used to Be Human Judgment
03
Turning Field Activity into Instant Business Visibility
With a REST-driven architecture, every action in the mobile app is synced in real time. Data is validated, structured into JSON, and pushed instantly to backend systems. The moment a survey is completed, it becomes visible to central teams, turning field activity into immediate business insight.
The biggest operational gap was the delay between execution and visibility.
03Turning Field Activity into Instant Business Visibility
01
Eliminating Manual Input at the Source
Instead of spending hours documenting items, surveyors now begin with a single action: capturing an image. That image is processed through multimodal AI, which identifies objects and converts them into structured data complete with dimensions and estimated weight. What was once manual, repetitive, and error-prone is now consistent, fast, and machine-driven.
The biggest inefficiency wasn’t in processing; it was in how data was captured.
01Eliminating Manual Input at the Source
02
Standardizing What Used to Be Human Judgment
The platform introduces a persistent, room-wise inventory system that behaves like a live calculation engine. As items are added or modified, volume and weight are recalculated instantly, with unit normalization handled automatically. This ensures every survey follows the same logic, removing variability and standardizing outputs across the entire operation.
Faster workflows meant little without consistency.
02Standardizing What Used to Be Human Judgment
03
Turning Field Activity into Instant Business Visibility
With a REST-driven architecture, every action in the mobile app is synced in real time. Data is validated, structured into JSON, and pushed instantly to backend systems. The moment a survey is completed, it becomes visible to central teams, turning field activity into immediate business insight.
The biggest operational gap was the delay between execution and visibility.
03Turning Field Activity into Instant Business Visibility
Core Screen
Replacing Estimation With Certainty
The results
The Results That Actually Moved the Business
70–80%
Less Manual Data Entry
100%
Standardized Calculations
Real-Time
Survey Visibility
Faster
Survey Turnaround
Eliminated
Measurement Errors
Scalable
Lead Management
Let’s Build Together
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Client Testimonial
What Our Client Says
Our survey operations relied heavily on manual processes, which made consistency and speed difficult at scale. Kombee helped us transition to an AI-powered workflow that significantly reduced manual effort while improving the accuracy and reliability of inventory assessments across teams. The platform has brought much better visibility and structure to our day-to-day field operations.
CASE STUDIES