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Development of iOS Mobile Application for Rapid Retail Price Data Collection with Error Detection and Offline Functionality

firstlinesoftware.com

Retail

Information technology

Challenges in Retail Price Data Collection

Field staff require a discreet, efficient solution for collecting retail price data 5x faster while minimizing errors. Existing manual methods face staff resistance, high error rates, and lack offline capabilities, compromising data accuracy and collection speed.

About the Client

Retail analytics company specializing in competitive price monitoring

Key Project Goals

Accelerate price data collection by 500%
Implement real-time error detection and correction
Enable seamless offline data entry with batch synchronization
Minimize user attention during data collection
Integrate automated quality control mechanisms

Core System Capabilities

Location-based shop identification using CoreLocation
Hierarchical product categorization (categories/subcategories)
Bluetooth-enabled barcode scanner integration
Multi-price type entry (basic/promotional/discount)
Error detection with photo verification workflow
Offline-first architecture with CoreData synchronization

Technology Stack

iOS SDK

CoreLocation

CoreData

Bluetooth

REST

JSON

zlib

System Integrations

Bluetooth barcode scanner devices
Centralized data server via REST API
Product database synchronization protocols

Quality Attributes

Sub-second response time for critical operations
Military-grade data encryption for field data
Support for 10,000+ concurrent users
99.9% accuracy in barcode recognition
Intuitive interface requiring minimal training

Expected Business Outcomes

Enables 5x faster data collection with 80% reduction in errors, supporting real-time competitive pricing analysis. Field agents can capture 100,000+ product prices monthly while maintaining data integrity through automated validation workflows.