How Americana Restaurants Doubled
Delivery Efficiency with a Data-Driven
Last-Mile Platform

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About Americana Restaurants

With 2,100+ restaurants and 12 iconic brands operating across 12 countries, the Americana Group is the backbone of the MENA region's food ecosystem. From global favorites like KFC, Pizza Hut, and Krispy Kreme to homegrown brands like Wimpy, Americana has spent nearly 50 years delivering food experiences that resonate with generations.

The Challenge: Conquering the Last-Mile
Delivery Maze

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Core Challenge

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Data Inconsistencies
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Geofencing & Standards Violations
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Order Assignment Manual Overrides

For a QSR giant like Americana Restaurants, the final mile of delivery is the most critical touchpoint for customer satisfaction. They faced a significant operational hurdle: a fragmented and inefficient last-mile delivery system. Data was siloed across different platforms, driver assignments were often manual and inconsistent, and geofencing violations were common, leading to delivery delays and rising operational costs.

This lack of a unified data strategy meant leadership couldn't get accurate insights into performance, and manual overrides in order handling led to missed sales opportunities. With thousands of deliveries across brands like KFC, Pizza Hut, Wimpy, and Hardee’s, Americana knew that to protect its brand reputation and drive growth, it needed to transform its delivery operations from a manual, reactive process into a streamlined, data-driven, and predictive engine. They sought a technology partner capable of handling enterprise-scale data engineering to build their solution: the Americana Last Mile Platform (ALMP).

The Appinventiv-Americana Partnership: A Snapshot of Success

  • 100% Increase in Efficiency: Auto order assignment rate skyrocketed from 42% to 82%, drastically reducing manual work.
  • 4X Improvement in Compliance: Customer geofencing compliance leaped from 20% to 80%, ensuring delivery accuracy.
  • Proven Scalability: Successfully processed over 60.45 million orders with zero platform downtime.
  • Real-Time Insight Delivery: Slashed report load times by 90%, delivering analytics from hours down to seconds.
Ready to Reinvent Your Delivery Network?
We helped Americana turn a fragmented delivery model into a real-time, intelligence-led system—capable of optimizing every second, every mile, and every customer interaction.

Our Process

Project Challenges: From Data
Chaos to Clarity

The project required overcoming several complex, enterprise-scale data challenges.

Development Process and Tech Stack:
The Blueprint for Last-Mile Optimization

Our solution focused on tackling the root cause of the problem: the data. The project's core was a complete legacy database transformation,
which we paired with a modern, responsive frontend.

Our partnership with Americana began with one goal: to turn fragmented last-mile operations into a unified, data-driven engine that scales effortlessly across brands and geographies. With thousands of drivers, multiple regions, and varied data sources, we needed to create a platform that could think fast, move faster, and offer complete control.
We kicked off with an exhaustive discovery phase to align every feature with operational realities—right from how orders are logged in the Order Management System (OMS) to how drivers pick up and move in the field. From there, our data engineers crafted a real-time infrastructure that didn't just collect delivery information—it activated it.

Data Processing & Transformation

  • Automated ETL: We leveraged SQL & Python to build robust, automated data pipelines that cleaned, structured, and normalized multi-source data for efficient querying and analysis.
  • Geospatial Data Processing: A dedicated process was implemented to clean and validate GPS delivery coordinates, ensuring the highest degree of accuracy for location-based analysis and geofencing compliance.

Analytics & Reporting Engine

  • Dynamic Optimization: The platform’s core logic for dynamic driver assignment was built to process real-time conditions, improving efficiency.
  • Actionable Dashboards: We used Power BI to create a suite of custom reports and interactive dashboards. This provided Americana’s leadership with domain-specific KPIs for delivery performance, driver compliance, and customer satisfaction, all in near real-time.

Technology Stack

  • Python
    Python ETL & Data Processing
  • SQL
    SQL ETL & Data Processing
  • Power BI
    Power BI Business Intelligence & Reporting

How We Got It Done

  • Discovery Phase: Mapped OMS structures and delivery flows, identifying brand-specific KPIs through direct collaboration with ops teams.
  • Development Sprints: Built the platform in agile layers—ETL, geospatial logic, anomaly detection, and dashboards.
  • Performance Layer: Created a lightweight data layer to normalize and visualize metrics in real time.
  • Validation & Rollout: Deployed across all brands with full geofencing accuracy, driver automation, and store dashboards.

This wasn’t just a delivery tracking solution—it became Americana’s real-time logistics intelligence engine.

Ready to Turn Delivery Data into Competitive Advantage?
Let’s build the intelligence layer your operations deserve.

Frequently Asked Questions

What is the cost to develop a platform like ALMP?

How long does it take to develop a logistics intelligence platform like ALMP?

What is the development process for a solution like ALMP?

How can I partner with Appinventiv to build my last-mile platform?

Why was Power BI chosen for the dashboards, and how was it customized for executive use?

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