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Real-Time Inventory Planning and Forecasting Web Application for Botanical Blitz

emergentsoftware.net

Environmental Services

Agriculture

Retail

Challenges with Legacy Inventory Management System

Botanical Blitz relied on a complex, static spreadsheet for inventory tracking and forecasting, leading to outdated data, manual duplication efforts, lack of real-time updates, and poor mobile accessibility during client consultations.

About the Client

A growing floral design company specializing in exterior floral design and maintenance, requiring scalable inventory and client project management solutions.

Key Goals for the New System

Replace spreadsheet-based inventory management with a real-time cloud solution
Enable mobile access for on-site client interactions and inventory adjustments
Automate seasonal inventory forecasting and project cost calculations
Streamline client project duplication and vendor catalog access

Core System Capabilities

Real-time inventory updates across all devices
Seasonal forecasting with client-specific historical data
Client/project filtering and report generation
Project duplication for seasonal reuse
Mobile-optimized inventory adjustments and client consultations
Integrated pricing catalog with wholesale/retail tiers
Dynamic project cost calculation engine

Technology Stack Requirements

Cloud-native web application framework (e.g., React/Azure/AWS)

Real-time database synchronization (e.g., Firebase, PostgreSQL with WebSockets)

Progressive Web App (PWA) capabilities for offline mobile use

RESTful API integration layer

System Integration Needs

Vendor inventory APIs for real-time stock checks
Existing client database migration tools
Mobile device camera integration for site photo documentation

Operational Requirements

Mobile-first responsive design with offline functionality
Role-based access control for client confidentiality
99.9% uptime SLA during peak seasons
Data encryption for client project information

Expected Business Outcomes

The new system will reduce inventory planning time by 60%, eliminate manual spreadsheet errors, improve client satisfaction through instant cost projections, and enable data-driven forecasting for seasonal demand, supporting 30% annual growth in client projects.