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PROJECT OVERVIEW

Bidding System
(Under NDA)

[ ENTERPRISE AUCTION & RECOMMENDATION PLATFORM ]

DESIGNING AND EVOLVING AN INTERNAL ENTERPRISE BIDDING SYSTEM INTO A FULLY AUTOMATED RECOMMENDATION PLATFORM THAT STREAMLINES PROCUREMENT, REDUCES INEFFICIENCIES, AND ENABLES DATA-DRIVEN DECISION-MAKING

CATEGORY
Enterprise Systems / Procurement / Automation
TIMELINE
2016 — Ongoing
SCOPE
Internal bidding platform, automation engine, recommendation system, enterprise integrations
STATUS
● ONGOING
SERVICES PROVIDED
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Discovery
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Business Analysis
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System Architecture
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Full-stack Dev
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QA
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Long-term Support
TECHNOLOGY STACK
Xamarin
Angular
Ionic
NodeJS
Laptop screen displaying a service request dashboard for managing localization projects with filters, project list, bid statuses, and dates.
01
STEP 01 — Project overview

Assembly Requirements

MODULE INVENTORY (5 COMPONENTS)

A large global enterprise producing TV shows and movies for the international market faced increasing inefficiencies in managing procurement from contractors.

The department responsible for hiring service providers struggled with bureaucratic processes, lack of transparency, and operational delays.

Unibrix began with discovery and consulting, identifying how a centralized internal bidding system could eliminate friction, automate workflows, and provide a unified source of truth.

The initial version of the system enabled employees to submit service requests anonymously, receive bids from multiple contractors, and objectively select providers.

Over time, the system evolved far beyond bidding — transforming into a data-driven recommendation engine powered by historical contractor performance.

Primary focus
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Centralized internal bidding infrastructure
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Secure multi-role access control
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Automation of procurement workflows
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Long-term evolution toward AI-based recommendations
What we delivered
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Internal auction management system
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Anonymous bid submission mechanism
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Messaging and communication tools
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Financial planning and payment tracking
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Historical contractor analytics engine
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Fully automated deal review process
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Continuous technical support and feature expansion
02
STEP 02 — CHALLENGES IDENTIFIED

Assembly Requirements

MODULE INVENTORY (5 COMPONENTS)
REQUIRED CAPABILITIES
A
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Engagement
The system needed to process both communication flows and financial data while remaining intuitive for employees managing dozens of simultaneous projects.
B
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Structure
A complex role hierarchy required high-level access control and security due to sensitive financial and proprietary data.
C
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Scalability
The platform had to integrate with multiple corporate systems and third-party services while maintaining performance across years of accumulated data.
03
STEP 03 — ASSEMBLY PROCESS

Solution Architecture

MODULE INVENTORY (3 COMPONENTS)
MODULE 3.1
● CORE PLATFORM

The first version introduced a structured bidding procedure:

Service request submission — Employees create structured service requests
Anonymous contractor applications — Fair bid submission process
Messaging and negotiations — Built-in communication tools
Payment planning workflows — Financial tracking and planning
Historical cooperation database — Track contractor relationships

Employees could compare proposals objectively while maintaining fairness and transparency.

MODULE 3.2
● EFFICIENCY ENGINE

Three distinct system layers were designed:

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Microservices
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Modular architecture
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Scalable design
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Integration
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Corporate ecosystem
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Third-party APIs
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Automation
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Workflow automation
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Unified dashboard

This tiered-access structure ensures clarity, security, and enterprise control.

MODULE 3.3
● AI-POWERED

The platform transformed from a bidding system into a recommendation system.

Using accumulated historical contractor data, the system began analyzing:

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Analytics
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Contractor experience
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Project performance
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Reviews & reliability
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Price accuracy
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AI Evolution
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Smart matching
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Auto-recommendations
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Predictive insights
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ML optimization

Based on this analysis, the system suggests the most appropriate contractor for a given project.

A fully automated AI-based solution is currently in development.

04
STEP 04 — ASSEMBLY COMPLETE

Delivered Impact

MODULE INVENTORY (5 COMPONENTS)
Process
Automation
UNIFIED SYSTEM
Unified source of truth
replacing fragmented
procurement workflows
Cost Efficiency
OPTIMIZATION
Reduced manual review
time and minimized
operational mistakes
Scalable Data
Intelligence
AI EVOLUTION
Transformed bidding
history into a recommendation
engine
PERFORMANCE OUTCOMES
A
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Saved up to 30 hours of working time per day
A
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Reduced operational errors by eliminating manual processes
A
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Increased transparency between enterprise and contractors
A
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Enabled data-driven business decisions
A
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Built a backbone system for a major enterprise department
ASSEMBLY PHILOSOPHY
We don't just code.
We build systems.
Piece by piece,
designed to snap perfectly
into your vision.
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