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Title
TVS Motor Company centralizes sales and service data on Databricks to drive AI-driven automotive experiences
…n Contact Us Try Databricks Customer Stories / TVS Motor Company CUSTOMER STORY Accelerating revenue growth with AI-driven automotive experiences 2x Faster sales-lead follow up 30% Increase in customer appointments for bike s…
Description
TVS Motor Company used the Databricks Data + AI Platform on Azure, with Delta Lake and MLflow, to centralize siloed sales and after-sales data from 150 different tables into a single source of truth, building ML models for sales-lead classification and predicting service center visits, achieving 2x faster sales-lead follow-up and a 30% increase in customer appointments for bike service.
…customer inquiries and follow up accordingly based on the propensity to retail. The centralised data platform allows the teams to consolidate data from 150 different tables for all the features, resulting in a significant improvement in sales lead conversion. With front-end service advisers at the heart of the business, the organisation…
Company
TVS Motor Company
…ter sales-lead follow up 30% Increase in customer appointments for bike service As the third-largest two-wheeler company in India, TVS Motor Company needed to find a way to modernise their data platform to drive revenue and generate profitable business growth globally. Existing sales and after-sales lifecycle data sat in multiple data platforms, w…
Problem
TVS Motor's sales and after-sales lifecycle data sat in multiple, difficult-to-access data platforms, causing inconsistent insights across teams; sales teams spent significant time consolidating data instead of developing growth strategy, and the business lacked a consistent view of customer interactions across its website, dealer showrooms and call centres.
…of insights to inform their decisions due to siloed systems and data sources. “Analytical data sources existed in multiple and difficult-to-access data platforms. Sales teams had to spend a lot of time consolidating data and insights rather than focusing on developing and activating their sales growth strategy,” said Anand Das, the Head of Data Science and Engineering, Customer and Retail…
Solution
TVS Motor built a centralized data platform on the Databricks Data + AI Platform on Azure, using Delta Lake for fast, scalable pipelines and MLflow to simplify model development and deployment, to create a single source of truth for prospect and retail engagement data and develop ML models for sales-enquiry lead classification and predicting service centre visits.
…e to enable reliable, secure and scalable collaboration among their data teams. They leveraged the Databricks Data + AI Platform on the Azure cloud, which comprised different components such as Delta Lake to build fast and scalable data pipelines, and MLflow to simplify model development, training and experimentation, and deployment. “Delta Lake has been instrumental in accelerating our transformation as it embo…
Business value
The centralized platform delivered 2x faster sales-lead follow-up and a 30% increase in customer appointments for bike service, and TVS Motor demonstrated return on investment for Databricks within 18 months.
…USTOMER STORY Accelerating revenue growth with AI-driven automotive experiences 2x Faster sales-lead follow up 30% Increase in customer appointments for bike service As the third-largest two-wheeler company in India, TVS Motor Company needed to…
Industry
Manufacturing
…gam Nagaraju, Lead Data Scientist at TVS Motor Company. Share this post Details Industry : Manufacturing Use Case : Data Science , Data Engineering Cloud : Azure Product : Delta Lake ,…
Technology
Azure Databricks, Delta Lake, MLflow
…e to enable reliable, secure and scalable collaboration among their data teams. They leveraged the Databricks Data + AI Platform on the Azure cloud, which comprised different components such as Delta Lake to build fast and scalable data pipelines, and MLflow to simplify model development, training and experimentation, and deployment. “Delta Lake has been instrumental in accelerating our transformation as it embo…
Use case type
Predictive operations
…anisation is always looking for ways to bring efficiency to the service centre. They have developed ML models, which predict when a customer will visit the service centre and the type of service to be rendered based on historical data — empowering service advisors with the insights they need to support their cust…
Business functions
Sales
…ket for their ML models. One of which is for sales enquiry lead classification. Business teams had to find a way to prioritise customer inquiries and follow up accordingly based on the propensity to retail. The centralised data platform allows the teams to consolidate data from 150 dif…
Headline outcome
…nue growth with AI-driven automotive experiences 2x Faster sales-lead follow up 30% Increase in customer appointments for bike service As the third-largest two-wheeler company in India, TVS Motor Company needed to…
AI capabilities
Machine Learning, Predictive Analytics
…w simplify recording and tracking ML experiments. This allows the data teams to develop various ML models that track customer feedback to improve customer satisfaction. Faster time to market for ML models to drive revenue growth With the help of D…
Deployment options
cloud
…e to enable reliable, secure and scalable collaboration among their data teams. They leveraged the Databricks Data + AI Platform on the Azure cloud, which comprised different components such as Delta Lake to build fast and scal…
