Desafio BAT Brasil:
BAT – Driver ID Sync

Início 16/07/2025
| Fim 06/08/2025

descrição

CHALLENGE
There is currently no reliable way to track which employee is using which corporate vehicle. Cars are frequently exchanged without centralized records. Previous attempts using tags or cameras failed due to LGPD (data privacy laws) and operational inefficiencies. Manual tracking also proved ineffective due to low user engagement.

COUNTRY
Brazil, with potential expansion to other Latam South countries.

PAIN POINT
Lack of centralized visibility over who is using which vehicle

Informal vehicle transfers without traceability

Failures of past solutions due to legal and operational challenges

Low engagement with manual processes

KEY CRITERIA
Real-time, automatic driver identification

Zero user interaction (fully passive)

LGPD compliance and alignment with BAT’s internal data privacy policies

Seamless integration with BAT’s fleet systems

Scalable across vehicle types and regions

Non-invasive, durable, and reliable technology (e.g., telematics, mobile sensor fusion)

No biometric or camera-based solutions

EXPECTED OUTCOMES
Accurate linkage of driver to license plate

Full traceability and accountability in fleet usage

Enhanced safety and compliance monitoring

Reduction of misuse and unauthorized transfers

Clean and reliable data for cost and usage analysis

Frictionless user experience for drivers

BUSINESS CONTEXT & OBJECTIVES
The Procurement and Fleet teams are addressing a long-standing traceability gap in the executive fleet. Vehicles are frequently exchanged among employees without registration, creating accountability and control issues. Past solutions—tags, cameras, manual logs—were either impractical or non-compliant. We are now seeking innovative technology that can automatically identify the driver with no manual input, ensuring reliable records while complying with privacy regulations.

TARGET AUDIENCE
Procurement, Facilities, Fleet, Logistics, and Operations teams

LOCATION
Brazil, with initial focus on São Paulo, Rio de Janeiro, and Uberlândia

KPIs
% of vehicles with successful automatic driver identification

% reduction in unidentified vehicle usage

% decrease in manual tracking workload

Compliance rate with fleet usage policies

Satisfaction score from fleet management team

Zero incidents of LGPD non-compliance

TIMELINE
Solution scouting & analysis: Q3 2025

Proof of concept / pilots: Q1 2026

Expansion / implementation: Q2 2026

FINAL THOUGHTS
We seek autonomous, privacy-compliant solutions capable of identifying drivers without requiring any action from the user. The goal is to establish smart, effortless, and reliable fleet traceability, reducing operational overhead while ensuring compliance and control across our logistics and fleet management ecosystem.