CUSTOMER STORY
Grofers saves 480+ hours of data engineering every month using Xplenty
INDUSTRY
E-commerce, Grocery
LOCATION
Gurugram, Haryana, India
COMPANY SIZE
3,000+ Employees
CHALLENGES
- Find a data integration platform that could consolidate data from many databases, software solutions and data sources without coding or engineering resources.
- Discover a solution that’s easy-to-use and cost-effective.
- Connect data across disparate microservices and multiple databases in a streamlined, easy-to-manage way.
- Cut down on time and resources necessary for data integration while empowering analysts with decision-ready data in the format they need.
SOLUTION
- By implementing Xplenty as their ETL solution, Grofers centralized and transformed data from multiple microservices across their supply chain, allowing them to proactively allocate resources and minimize shipping issues.
- Xplenty’s data integration layer enabled Grofers to analyze a customer’s entire journey, providing critical insight needed to optimize ad spend, forecast demand, and minimize churn.
RESULTS
- Xplenty’s data integration saves Grofers at least 480 hours of data engineering time every month: the equivalent of hiring four data engineers.
- Analysts can quickly leverage data insight from Xplenty without relying on data engineers or worrying about the underlying infrastructure.
ABOUT
Grofers is India’s largest online grocery store, offering everyday low prices to its customers. Since the company launched in 2013, its customer app has been downloaded over 16 million times. The company now delivers more than 40 million products to customers’ doorsteps every month.
USE CASE
- On the demand generation side, they needed a way to pull together data from multiple ad platforms, in-app behavior, and order processing so that they could optimize ad spend, forecast demand, and minimize churn.
-
On the supply chain side, Grofers’ microservices architecture meant that data was being written to multiple isolated databases. This made it impossible to accurately analyze and interpret the data across every node of the supply chain or cut down on time and resources necessary for data integration while empowering analysts with decision- ready data in the format they need.
Because of this, decision-makers lacked the rich insight they needed to proactively allocate warehouse resources, plan inventory, or understand how orders were moving from their warehouses to the customer’s doorstep.
TRANSFORMING DATA AT SCALE IN A HIGH-GROWTH COMPANY
Before Xplenty, analysts across Grofers’ teams did their best to support stakeholders with reports that tried to bridge the knowledge gap between silos. But they lacked the engineering know-how to transfer data between sources for timely, accurate analysis.
This put enormous strain on the company’s limited data engineering resources as they tried to build and maintain pipelines while responding to a skyrocketing number of analyst requests.
The need for an ETL solution became clear.
But it was critical that any solution Grofers implemented would help them both solve their immediate needs and scale up as their teams and shipment volumes grew.
To solve these challenges, Grofers turned to Xplenty.
Xplenty gave us the ability not to have data engineers in every team. Instead, data analysts can get the data in the form and shape they want, without worrying about how an ETL process works or the underlying infrastructure.
GROFERS SCALES UP, STREAMLINES ANALYSIS, AND SLASHES DATA ENGINEERING TIME
Grofers used Xplenty’s data integration platform to pull together data from microservices, including databases stored in RDS instances.
They leveraged Xplenty’s built-in REST API connector to pull data from multiple vendors and integrate with their existing systems, shortening the implementation period and simplifying data collection.
With Xplenty’s data transformation layer and intuitive GUI, analysts have direct access to the data they need, in the format they need, on a platform that anyone can learn.
And because data from across the entire customer journey and supply chain is merged and transformed, analysts and decision-makers finally have access to big-picture insight without relying on data engineering.
THIS DRAMATICALLY REDUCED DATA ENGINEERING TIME BY AT LEAST 480 HOURS PER MONTH
Grofers estimates that without Xplenty in their stack they would need to hire four more data engineers to build and maintain pipelines full-time.
Overall, the 360-degree visibility Grofers has with Xplenty helped the company execute on data-driven decisions more quickly, without having to hire a massive centralized BI team or data engineers for every internal team.
Xplenty is a great tool for any data team that needs to be agile and produce results quickly. It saves us a huge amount of development time every month and enables your analytics team to start doing valuable analysis, almost from day one.
INTEGRATIONS USED
CHALLENGES
- Find a data integration platform that could consolidate data from many databases, software solutions and data sources without coding or engineering resources.
- Discover a solution that’s easy-to-use and cost-effective.
- Connect data across disparate microservices and multiple databases in a streamlined, easy-to-manage way.
- Cut down on time and resources necessary for data integration while empowering analysts with decision-ready data in the format they need.
SOLUTION
- By implementing Xplenty as their ETL solution, Grofers centralized and transformed data from multiple microservices across their supply chain, allowing them to proactively allocate resources and minimize shipping issues.
- Xplenty’s data integration layer enabled Grofers to analyze a customer’s entire journey, providing critical insight needed to optimize ad spend, forecast demand, and minimize churn.
RESULTS
- Xplenty’s data integration saves Grofers at least 480 hours of data engineering time every month: the equivalent of hiring four data engineers.
- Analysts can quickly leverage data insight from Xplenty without relying on data engineers or worrying about the underlying infrastructure.
INTEGRATIONS USED
ABOUT
Grofers is India’s largest online grocery store, offering everyday low prices to its customers. Since the company launched in 2013, its customer app has been downloaded over 16 million times. The company now delivers more than 40 million products to customers’ doorsteps every month.
USE CASE
- On the demand generation side, they needed a way to pull together data from multiple ad platforms, in-app behavior, and order processing so that they could optimize ad spend, forecast demand, and minimize churn.
-
On the supply chain side, Grofers’ microservices architecture meant that data was being written to multiple isolated databases. This made it impossible to accurately analyze and interpret the data across every node of the supply chain or cut down on time and resources necessary for data integration while empowering analysts with decision- ready data in the format they need.
Because of this, decision-makers lacked the rich insight they needed to proactively allocate warehouse resources, plan inventory, or understand how orders were moving from their warehouses to the customer’s doorstep.
TRANSFORMING DATA AT SCALE IN A HIGH-GROWTH COMPANY
Before Xplenty, analysts across Grofers’ teams did their best to support stakeholders with reports that tried to bridge the knowledge gap between silos. But they lacked the engineering know-how to transfer data between sources for timely, accurate analysis.
This put enormous strain on the company’s limited data engineering resources as they tried to build and maintain pipelines while responding to a skyrocketing number of analyst requests.
The need for an ETL solution became clear.
But it was critical that any solution Grofers implemented would help them both solve their immediate needs and scale up as their teams and shipment volumes grew.
To solve these challenges, Grofers turned to Xplenty.
Xplenty gave us the ability not to have data engineers in every team. Instead, data analysts can get the data in the form and shape they want, without worrying about how an ETL process works or the underlying infrastructure.
GROFERS SCALES UP, STREAMLINES ANALYSIS, AND SLASHES DATA ENGINEERING TIME
Grofers used Xplenty’s data integration platform to pull together data from microservices, including databases stored in RDS instances.
They leveraged Xplenty’s built-in REST API connector to pull data from multiple vendors and integrate with their existing systems, shortening the implementation period and simplifying data collection.
With Xplenty’s data transformation layer and intuitive GUI, analysts have direct access to the data they need, in the format they need, on a platform that anyone can learn.
And because data from across the entire customer journey and supply chain is merged and transformed, analysts and decision-makers finally have access to big-picture insight without relying on data engineering.
THIS DRAMATICALLY REDUCED DATA ENGINEERING TIME BY AT LEAST 480 HOURS PER MONTH
Grofers estimates that without Xplenty in their stack they would need to hire four more data engineers to build and maintain pipelines full-time.
Overall, the 360-degree visibility Grofers has with Xplenty helped the company execute on data-driven decisions more quickly, without having to hire a massive centralized BI team or data engineers for every internal team.
Xplenty is a great tool for any data team that needs to be agile and produce results quickly. It saves us a huge amount of development time every month and enables your analytics team to start doing valuable analysis, almost from day one.
