Sai Kalyani Rachapalli Contributing To Dealer Performance Through Real-Time KPI Generation And Dashboard Optimization

In a significant shift towards real-time operational intelligence, a vehicle manufacturer has restructured its dealership performance analytics, resulting in improvements across sales, service, and customer satisfaction. At the center of this transformation is Sai Kalyani Rachapalli, an ETL Developer whose data engineering work has contributed to changes in how performance insights are delivered across a sprawling dealership network.

Coming from the experts' table, Rachapalli’s work on the enterprise-wide KPI dashboard project has been called a “turning point” by insiders familiar with the initiative. The dashboard, which now serves over 300 dealerships nationwide, processes more than 20 billion records pulled from 200+ high-volume files—each averaging around 100 million records. It delivers insights across 11+ performance dimensions, including inventory flow, warranty resolution, customer service benchmarks, and sales metrics.

"We weren’t just building a reporting tool," said Rachapalli. "We were enabling a culture shift—one where data becomes a proactive decision-making partner for every stakeholder in the dealership ecosystem."

As per internal reports, the transformation yielded considerable financial upside. By eliminating reliance on a third-party vendor previously used for dealership analytics, the company saved over $500,000 annually. More notably, the newly engineered platform—now fully self-sustaining—has generated over $360,000 each year in subscription revenue from participating dealerships.

Additionally, the platform accelerated feature delivery by enabling reusability within its data architecture. “By building modular ETL components and validation frameworks,” Rachapalli explained, “we saved over 7,000 developer hours. This allowed the engineering teams to iterate faster and respond more rapidly to evolving business needs.”

Reports suggest that the project’s effects reached beyond operational metrics. The solution drove a 30% lift in certified pre-owned (CPO) vehicle sales and a 12-point increase in customer satisfaction (CSAT) scores. These gains were supported by direct engagement with area managers and product teams, through which Rachapalli facilitated training on data literacy, insight interpretation, and stakeholder onboarding.

"When data becomes both accessible and trustworthy, people use it," Rachapalli added. "That’s how we achieved 100% dealership onboarding—by proving the platform could deliver consistent, transparent, and actionable insights."

Yet, these outcomes were far from guaranteed. Rachapalli and the team faced substantial hurdles during the rollout. The challenge of harmonizing over 200 structured data sources from disparate systems—ranging from CRM to inventory to warranty records—was described as “unprecedented” by colleagues. The team addressed it by engineering dynamic schema validation and intelligent transformation logic, ensuring real-time consistency across the ingestion pipeline.

Trust, too, had to be earned. Stakeholders had grown skeptical of analytics platforms due to prior issues with vendor-delivered data quality. Rachapalli implemented granular validation and error-logging to restore confidence. “We created transparent feedback loops,” she noted, “and it changed the way users viewed the platform—from skepticism to advocacy.”

Experts close to the matter confirm that aligning technical execution with shifting business demands was one of the complex aspects. “Translating fast-evolving stakeholder needs into clean, scalable data logic under tight timelines—that was the real test,” said Rachapalli. “But that’s also where we created the most value.”

Looking ahead, the platform’s architecture is positioned to adapt and expand. Designed with reusability in mind, it supports the quick addition of new KPIs and regions—ensuring that as dealership strategies evolve, the data layer can evolve in parallel.

In the words of one regional executive, “This platform turned data into our most reliable team member.”

The project highlights how the right combination of engineering rigor, cross-functional collaboration, and user empathy can transform a legacy system into a modern, monetizable intelligence solution—one that saves money and actively generates revenue and operational agility.

Sai Kalyani Rachapalli’s role, reportedly instrumental to this overhaul, highlights how behind every digital transformation is a quiet architect—writing logic, validating assumptions, and ensuring that when insights arrive, they arrive with clarity, speed, and trust.

About Sai Kalyani Rachapalli

Sai Kalyani Rachapalli is a Charlotte, North Carolina-based data engineering professional with over nine years of experience in the fields of finance, manufacturing, and healthcare. She currently serves as a Senior Developer at EverBank, where she focuses on designing and maintaining enterprise-scale ETL pipelines and data integration frameworks. With a Master's degree in Chemistry and a technical foundation in ETL development, SQL, and data analytics tools, she applies a multidisciplinary approach to solving complex data challenges.

Rachapalli’s career spans across multiple sectors where she has contributed to real-time data streaming, performance tuning, and automation initiatives. In the finance domain, she has worked with technologies like Kafka, Spark, and Informatica to support compliance, reconciliation, and financial reporting systems. Her work in manufacturing involved developing optimized workflows using Hadoop and Hive, with a focus on production efficiency and data visualization. In the healthcare sector, she contributed to decision-making systems through real-time analytics.