AWSLogisticsApplication RefactoringData Lake / Data Warehouse ModernizationIT Operations AutomationReal-time AnalyticsSystem MigrationAI and Machine LearningCloud MigrationCloud NativeData AnalyticsData PlatformCost ReductionCustomer ExperienceProductivity ImprovementScalability2024AWSAWS#ff9900LogisticsLatin AmericaCoca-Cola Andina has been using AWS since 2020, and in 2021, the company built a data lake on AWS and began migrating all its data from its on-premises storage to the cloud. The migration required a scalable solution…Instead of updating once per day, Thanos updates its data every 15 minutes. “In Thanos, we have information…Feb 1, 20246Application Refactoring|Data Lake / Data Warehouse Modernization|IT Operations Automation|Real-time Analytics|System MigrationAWS Lambda · Amazon RDS · Amazon S302024-02-016
Application Refactoring · Data Lake / Data Warehouse Modernization · IT Operations Automation · Real-time Analytics · System Migration
Coca-Cola Andina has been using AWS since 2020, and in 2021, the company built a data lake on AWS and began migrating all its data from its on-premises storage to the cloud. The migration required a scalable solution because Coca-Cola Andina had a large amount of existing data to migrate in addition to the new data coming in daily.
↗Instead of updating once per day, Thanos updates its data every 15 minutes. “In Thanos, we have information about product distribution from the initial order to the collection of payment and the return of the delivery truck,” says Sereno.
↗It has improved the fill rate of orders by 1 percent, reduced the frequency of being out of stock by 0.2 percent, and reduced the number of orders not received by 0.3 percent.
↗reduction in orders not received reduction in out-of-stock rate
Reported impact
Business outcome
Since building Thanos, Coca-Cola Andina has been expanding its AWS footprint and using its wealth of data to improve analytics and train machine learning models on Amazon SageMaker , a fully managed service used to build, train, and deploy models for any use case. It’s also starting to use artificial intelligence to detect duplicate or similar orders, which often contribute to operational issues. “Because we now have all our information in the cloud, we can use it with ease to make artificial intelligence solutions,” says Sereno. Coca-Cola Andina has improved its data visibility, operational efficiency, customer satisfaction, and the productivity of its IT team by migrating to a fully managed cloud infrastructure on AWS. “Our technical team is focused on building solutions, and that is the point,” says Sereno. “On AWS, we don’t have to worry about the infrastructure.” Our technical team is focused on building solutions, and that is the point.
Cost Reduction
Customer Experience
Productivity Improvement
Scalability
Solution
Beverage bottling company Coca-Cola Andina depends on detailed, up-to-date information to efficiently manage its facilities and the hundreds of trucks that transport its products to customers across four countries. However, the company wanted better visibility into its operations and more actionable data than its on-premises infrastructure could offer. It also uses AWS Lambda , a serverless, event-driven compute service, to perform analytics and generate near-real-time insights. Since building Thanos, Coca-Cola Andina has been expanding its AWS footprint and using its wealth of data to improve analytics and train machine learning models on Amazon SageMaker , a fully managed service used to build, train, and deploy models for any use case. With this data on Amazon S3, Thanos presents an online dashboard that organizes Coca-Cola Andina’s operations data into accessible, digestible tables and graphs. Coca-Cola Andina uses Thanos to pull data from
Data flow
processing runs on AWS Lambda, Amazon SageMaker; results and state are stored in Amazon S3, Amazon RDS for the data platform workload.
Solution architecture
4 components · 2 layers
Compute
AWS LambdaRuns core compute or model execution for the data platform workload.
Amazon SageMakerRuns core compute or model execution for the data platform workload.
Storage
Amazon S3Stores application, analytics, or workflow state for the data platform solution.
Amazon RDSStores application, analytics, or workflow state for the data platform solution.
Architecture clues
It also uses AWS Lambda , a serverless, event-driven compute service, to perform analytics and generate near-real-time insights.
Evidence from the source
Coca-Cola Andina has been using AWS since 2020, and in 2021, the company built a data lake on AWS and began migrating all its data from its on-premises storage to the cloud.
For example, the company can view the status of each distribution center, track the names of employees and their productivity throughout the day, and combine various other metrics about processes, employees, and trucks.
Instead of updating once per day, Thanos updates its data every 15 minutes. “In Thanos, we have information about product distribution from the initial order to the collection of payment and the return of the delivery truck,” says Sereno.
The migration required a scalable solution because Coca-Cola Andina had a large amount of existing data to migrate in addition to the new data coming in daily.
With Thanos, Coca-Cola Andina has enhanced its visibility into its operations and various processes across facilities and countries.
With this data on Amazon S3, Thanos presents an online dashboard that organizes Coca-Cola Andina’s operations data into accessible, digestible tables and graphs.
Review how this reference was scored and trace each normalized claim back to its documented source.
01
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value95/100
Problem clarity20/20
Measures whether the customer's operational problem is specific enough to compare.
Implementation depth20/25
Rewards named components, data flow, integrations, and architecture detail.
Outcome specificity20/20
Measures whether the reported benefit is concrete rather than a generic claim.
Quantified impact25/25
2 metrics describe measurable impact.
Deployment scale10/10
Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence90%
Source authority20/25
The main evidence is an official vendor-published customer story.
Claim traceability23/25
11 of 12 key fields link to a named source.
Direct evidence20/20
6 direct source quotes retained.
Date provenance8/10
The publication date comes from publisher-controlled metadata.
The filing identifies the registrant as "Embotelladora Andina S.A." and states its principal executive offices are in "Renca - Santiago, Chile"; Item 6.D adds, "As of December 31, 2024, we had 20,525 employees (full time equivalent)."
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