8% Profit Increase Through AI Automation

Bella Aurora Cafe

Bella Aurora Cafe Abstract Photo

The Client

Bella Aurora Cafe is a rapidly growing, high-volume cafe and bakery serving the local Toronto community. While successful, its profitability was constrained by operational inefficiencies common to the quick-service food industry.

The Challenge: Manual Bottlenecks vs. Profit

Bella Aurora faced two major, high-cost bottlenecks that were limiting their ability to scale:

  1. Inventory & Waste: Ordering and prepping inventory relied on manual staff estimation, leading to unpredictable daily food waste that eroded the monthly profit margin.
  2. Content Velocity: The marketing team struggled to produce fresh, engaging social media and in-store content daily, draining valuable employee time that should have been spent on customer service.

The need was not for new software, but for Intelligent Automation to take over the repetitive, high-stakes tasks that required predictive accuracy and high content volume.

The Smart Solution: Dual AI Agent Deployment

Fibocolon deployed a custom solution involving two distinct, integrated AI agents, delivered in a fixed, 60-day sprint.

1. The Inventory Forecasting Agent

We built an Intelligent Agent powered by a time-series forecasting model (using historical sales data, weather, and calendar events). This agent automatically calculated the optimal daily inventory requirements for key perishable goods (e.g., fresh pastries, specialized ingredients).

  • Function: Automated, daily "buy/prep" recommendations delivered directly to the kitchen manager.
  • Outcome: Eliminated human guesswork and reduced costly over-ordering.

2. The Generative Content Agent

We deployed a Generative LLM (Large Language Model) fine-tuned on the Cafe's brand voice and historical best-performing posts. This agent was integrated into the CMS to automate the daily content pipeline.

  • Function: Generated 3x daily social media captions, email subject lines, and in-store menu descriptions, requiring only minor human review.
  • Outcome: Freed up marketing staff and ensured a constant stream of fresh, engaging content.

Key Outcomes & Metrics

Within one quarter of the solution's deployment, the Bella Aurora Cafe achieved immediate, measurable impacts on its bottom line:

Metric

Before AI Implementation

After AI Implementation (Q1)

Impact

Monthly Food Waste Cost
Manual Estimation
Automated Forecasting
12% Reduction
Content Velocity
1 Post per Day
4 Posts per Day
4x Increase
Staff Time on Content
~10 hours per week
~2 hours per week
80% Reduction
Overall Profitability
Baseline
Sustained Growth
8% Overall Profitability Increase
← Scroll horizontally to see all columns →

Technology Stack

The solution was built on a flexible, cloud-agnostic platform to ensure the Cafe could easily maintain the system without dedicated in-house engineers.

Layer

Technology Used

Rationale

Core Model
Open Source LLM (Generative) + Python (Forecasting)
Customized for brand voice and optimal performance/cost ratio.
Forecasting
Time-Series Machine Learning Model (Proprietary Algorithm)
High accuracy in predicting demand based on complex variables.
Automation
n8n / Custom Webhooks
Orchestration layer to deliver predictions to staff devices
Infrastructure
Firebase
Serverless, scalable, and low-maintenance hosting environment.
← Scroll horizontally to see all columns →

Ready to Find Your 8%?

Bella Aurora Cafe transformed two major operational burdens into automated, profit-driving engines. If you're a scale-up or high-growth business struggling with manual overhead, we can build a Smart Solution that delivers an immediate return on investment.