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Custom Web Application for Order and Production Management in Artisanal Bakery
  1. case
  2. Custom Web Application for Order and Production Management in Artisanal Bakery

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Custom Web Application for Order and Production Management in Artisanal Bakery

spiria.com
Manufacturing
Food & Beverage
Retail

Operational Inefficiencies in Order Management and Production Planning

Arhoma struggles with manual paper-based order-taking processes that create delays, errors, and bottlenecks in managing 100+ daily B2B orders. The lack of integrated systems between sales, production, and delivery leads to overproduction, customer dissatisfaction, and inefficient resource allocation.

About the Client

Artisanal bakery specializing in organic, fair-trade breads and pastries with delivery services across Montreal and surrounding areas

Digital Transformation Goals

  • Replace manual processes with a centralized digital order management system
  • Optimize production planning through automated demand forecasting
  • Reduce order processing errors by 60% within the first year
  • Enable seamless data flow between sales, production, and accounting departments
  • Support business growth through scalable digital infrastructure

Core System Capabilities

  • Intuitive order entry interface for recurring/special orders
  • Real-time production capacity planning dashboard
  • Automated daily production report generation
  • Client preference tracking and sales pattern analysis module
  • Integrated document generation (invoices, delivery manifests)
  • Two-way synchronization with Sage 50 accounting software

Technology Stack Requirements

.NET
Angular
HTML5
JavaScript

System Integration Needs

  • Sage 50 Accounting Software
  • Delivery Route Optimization API

Performance and Security Standards

  • Support 500+ concurrent users during peak hours
  • 99.9% system uptime guarantee
  • Role-based access control with GDPR compliance
  • Sub-2 second page load times for core workflows
  • Mobile-responsive interface design

Expected Business Outcomes

Implementation of this solution is projected to increase order processing capacity by 30%, reduce employee training time by 60%, and eliminate 90% of order-related errors. The system will enable data-driven production planning, reduce operational costs through optimized dough volume calculations, and free 20% of customer service staff time for sales development activities.

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