Idea
Algorithmic platform recommending telecom plans that maximize user utility without any overcharging risk.
Research Paper
Core Innovation
This paper presents BFTR, a framework integrating eight budget-first strategies including two novel hybrid methods that guarantee zero price deviation by aligning final prices with catalog references. It mathematically proves offer existence for any budget and demonstrates operational efficiency and robustness on real telecom data.
Why It Matters
Telecom users often face limited plan choices and risk overpaying due to predefined tariffs. BFTR ensures personalized plans that fully utilize budgets without surcharge, improving customer satisfaction and trust. This scalable solution can transform telecom pricing by enabling fair, optimized recommendations at scale.
Market Size (TAM)
$20–50B TAM for global telecom tariff management; $2–10B SAM from telecom operators seeking personalized pricing solutions. Driven by demand for customer retention and regulatory compliance.
Potential Customers & Pain Points
- Telecom operators – Need to offer personalized plans without overcharging
- Mobile users – Need fair budget-aligned tariff options
- Telecom regulators – Need transparent pricing enforcement
Business Model
Licensing the BFTR platform to telecom operators as a SaaS or on-premise solution with tiered pricing based on customer volume and feature sets.
Competitive Landscape
- Optiva
- MATRIXX Software
- Amdocs
- Ericsson Charging
- Huawei Telecom Billing
Implementation Challenges
- Integration complexity with existing telecom billing systems
- Operator resistance to changing established tariff structures
- Regulatory approval and compliance across diverse markets
Validation Strategy
- Pilot deployments with regional telecom operators to measure customer satisfaction and revenue impact
- A/B testing against existing tariff recommendation systems
- Regulatory compliance audits and third-party validation of zero overcharging claims
Research Paper Overview
Budget-First Tariff Recommendation (BFTR): A Complete Algorithmic Framework for Telecom Plan Recommendation without Overcharging
Summary
BFTR introduces eight budget-first strategies for telecom plan recommendations that guarantee zero overcharging by aligning prices with catalog references. It includes two novel hybrid approaches and mathematically proves offer existence for any positive budget. Experiments on Nigerian MTN data show optimal customer utility, volume, and budget use with execution times under 10 ms, confirming operational viability.