Klabin Case Study:
full control of fleet health

Conlog faced frequent tire losses, slow work order resolution and high fuel consumption. With Prolog, it began performing 5x more inspections, reducing the rate of tires with anomalies to 0.3% — and tire losses were eliminated.

With tires at their ideal calibration, average km/l increased, reducing fuel costs and improving the performance margin in purchasing management.

Translecchi, with around 590 license plates and more than 7,900 tires, could not keep track of relocations, tread depth and wear through its traditional ERP.

Almost 2 years after implementing Prolog, the company already has more than 14 thousand tires inspected, 20 thousand services completed and 4 thousand tires managed through responsible disposal.

Marbela had difficulty following tread depth measurements and ideal calibration. Manual tasks made the routine tiring and generated low-precision results.

With Prolog's electronic tread probe, the company reduced tire disposal by 47.8% in a few months, bringing forward preventive retreading and avoiding premature asset loss.

Cobeb faced premature tire wear, a lack of checklist digitization and frequent retreading rejections. Data generated by Prolog completely changed tire organization and purchasing.

Retreading rejections were halved, and fuel consumption fell by 2% from the start of system use.

In 3 years of using Prolog, T2P significantly improved the accuracy of pressure and tread depth inspections and gained greater team productivity.

The company reduced retreading rejections by 1/3, retreads more tires, makes fewer purchases and scores another point for fleet savings.

Ghisolfi had difficulty with tire management and maintenance, with excessive paper use and work orders getting lost. Using Prolog since 2019, tires began gaining an extra life through retreading.

In around 3 years, the company validated the best tire models by durability and performance, with more than 146 thousand inspections performed.

Brasul Ltda had difficulty following tire relocations and speeding up routine management processes. After Prolog was introduced in 2020, process automation brought immediate improvements.

With the electronic tread probe kit, tire inspection became 136% faster. Data is sent automatically to the dashboard, with more than 3.3 thousand tire services recorded.

Master Express had difficulty identifying drivers in checklists and lacked visibility into vehicle health. In just one year with Prolog, the company saw positive responses.

The electronic checklist with a digital signature provided legal certainty and fast identification of the person responsible, ensuring that unfit vehicles were held back at the depot.

Rodalog started with 618 vehicles registered in 2018, seeking to resolve issues with visibility into truck condition and productivity in data collection.

The "Checklist Traffic Light" began to show a summary of all license plates and the condition of each one. Over years of use: more than 230 thousand checklists and 72 thousand WOs completed.

Until 2019, Grupo Horizonte performed all inspections on paper, with considerable manual rework. With more than 1,300 license plates and 18 thousand tires, much important data went unnoticed.

With Prolog, data entry became automatic. In 3 years: more than 1 million tire inspections, 80 thousand services performed and 3,910 tires managed through to disposal.

Avilan struggled with paper-based management and work orders lost as information was passed along. Soon after implementing Prolog, the carrier saw the payoff.

With the inspection kit and data control software, the process became 136% more efficient. The tool brought productivity, savings, organization and standardization to all tire management.

Ilha Norte's main challenge was slow analysis and frequent tread depth and pressure measurement errors, generating incorrect ERP data.

The electronic tread probe brought measurement precision, and API integration updated data automatically, making diagnosis processes more efficient and safer.

Four years after implementing Prolog, DMC Revenda reports a strong impact across several areas. Semi-automated collection sent data directly into the system, eliminating manual entries.

Tires began delivering three additional lives through retreading, and the company identified the best-performing models, leading to smarter purchasing and 4% fuel savings.