success story Cobeb Case Study:
how tire control transformed the operation
Less tire disposal, fewer retreading rejections and greater control of active tires and those in inventory. These are some of the benefits cited by Cobeb after adopting Prolog.
Retreading rejections
−50%
↓ vs. before Prolog
Fuel savings
+2%
since the start of use
- Inspection completed — retreading approved inspection
- Tire relocated — inventory updated inspection
- Poorly performing model flagged inspection
- Replacement prediction recalculated inspection
Cobeb · Lagoa da Prata MG
+15.7K tire inspections
performed
Results achieved by Cobeb with Prolog
retreading rejections with full control of each casing
savings in fuel consumption with ideal calibration
tire inspections performed with Prolog
Who is Cobeb?
headquarters · Lagoa da Prata
brand resold
offices across the state
COBEB — Cia de Bebidas Brasil is an Ambev reseller headquartered in Lagoa da Prata, in Minas Gerais.
Today it already has offices in several cities across the state, such as Abaeté, Bom Despacho and Formiga, among others. With its own fleet dedicated to distribution, tire control became one of the main drivers of lower operating costs.
From challenge to result
The challenges faced by the Cobeb operation
Reduce premature disposal
Large volume of retreading rejections
Lack of information to purchase the best tire models
How Prolog was implemented at Cobeb
While looking for control tools to help extend tire useful life and improve fleet control, Cobeb found Prolog. Electronic checklist made vehicle inspections easier, and the main benefits came in tire management.
Tire management
Analysis of fleet tire information, identifying poorly performing models and those with the best CPK — more accurate tire purchasing, predictable asset replacement and 50% fewer retreading rejections. Together with Electronic checklist, it generates automatic reports and eliminates premature disposal.
Explore Tire management →- Follow-up of tire condition and uneven wear at each inspection
- Accurate reports and replacement predictions generated from data entered into the system
- Savings in tire purchasing and fuel consumption
Retreading rejections halved — from the first cycle
"An incredible tool, with an enormous productivity gain in tire-related processes."
Guilherme
Operations Team · Cobeb
Success Story Results achieved
by Cobeb
With Prolog, Cobeb halved retreading rejections, saved 2% on fuel and performed more than 15,700 inspections — turning tire costs into a data-driven control center.
retreading rejections
fuel savings
inspections performed
Predictable asset replacement — more accurate tire purchasing focused on the best models by CPK.
Why this case study became a benchmark
Real challenges. Solution implemented. Verifiable metrics. Manager testimonial.
A dual reduction: tires and fuel
The Cobeb case study proves that tire management directly affects fuel consumption.
Retreading rejections halved
From 100% rejections to 50%: with Prolog, each casing's useful life began to be controlled and it was sent for retreading at the right time, giving each tire a second life and reducing the fleet’s total cost..
Purchasing based on actual CPK
Identifying poorly performing models and those with the best CPK turned Cobeb's tire purchasing into data-driven decisions, eliminating reactive price-based choices and reducing cost per kilometer..
Replicable in distribution operations
Cobeb's challenges (premature disposal, retreading rejections and a lack of purchasing data) are common to distributors and resellers with their own fleets.
Questions about the Cobeb Case Study
What is the Cobeb Case Study?
What results did Cobeb achieve with Prolog?
How were retreading rejections reduced by 50% at Cobeb?
How does tire control generate fuel savings?
What is CPK, and how did it help Cobeb?
Which Prolog modules does Cobeb use?
What challenges did Cobeb face before Prolog?
What did Guilherme say about Prolog at Cobeb?
What is tire retreading, and why is it important for fleets?
How can beverage resellers reduce tire costs?
What is tire replacement predictability?
How can the Cobeb model be applied to other distributors?
Discover other success stories
Prolog is an innovative tool in the fleet management sector. Today we have precise control over the wear, upkeep and condition of the tires in our fleet.
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.
Prolog is an excellent app for anyone who wants to combine management with cost reduction.
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.
Prolog has made our lives much easier in 3 areas. Productivity, efficient control and cost reduction!
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.
The tool offers excellent value for money, has several reports for analysis and decision-making, and is entirely online and easy to access.
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.
A good solution for fleet maintenance control; it delivers good results.
Klabin faced issues controlling corrective maintenance and identifying vehicles with recurring issues. Prolog's electronic checklist resolved them with inspection scheduling and immediate access to inspection results.
With the system, the company began preventing trucks with critical items from departing for trips, increasing safety. More than 22 thousand completed checklists and 3.2 thousand completed WOs.
An excellent tool for tire management and checklists. We can measure team productivity and take targeted action on gaps, bringing paper use to almost zero.
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.
Previously we collected tread depth measurements manually. Now, with automated collection, everything collected goes directly into the system and we can evaluate it quickly.
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.
Helpful service, willingness to improve the fleet and a report for analysis and corrections.
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.
We gained productivity through the digitization of data. Today, we can quickly break down tire control data and checklist compliance on the road.
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.
Prolog is an essential tool for fleet management.
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.
Since we discovered Prolog, our management has become much more efficient and accurate, with much faster decision-making — and today we can no longer imagine ourselves without this tool.
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.
The accuracy of the information and the reading speed of our ERP system changed the speed and reliability of wheel-and-tire assembly diagnoses.
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.
Today we have an army of people looking at the condition of the fleet 24 hours a day, 7 days a week.
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.
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