How McQueen Autocorp’s Payment Model Revamp Boosted Monthly Savings by 15%
Expertise Delivered
Industry
The Client
Our client, McQueen Autocorp, offers a platform for used car sellers with a buyer network across the USA. The company has developed a hassle-free, customer-centric selling process for used cars accessible to customers.
With just a few simple steps—creating an account, answering a brief questionnaire, and getting an instant quote—sellers can generate a competitive offer. If the prize meets their expectations, they can accept the deal, and McQueen Autocorp will take care of the rest.
Disclaimer: The name McQueen Autocorp is a placeholder, as both parties have signed an NDA.
The Challenge
McQueen Autocorp collaborates with affiliates who generate leads of individuals willing to sell their cars. Affiliates would receive a commission for each lead only if:
1. The seller finalizes the sale and
2. Our client finds a buyer for that particular vehicle and settles the transaction (called – Pay on Settle).
This caused a delay in payment for the affiliates, as finding a buyer could sometimes take up to 6 months.
Therefore, our client planned a transition. Instead of waiting for a completed sale, they decided to compensate the affiliates as soon as the vehicle was received from the seller (termed ‘Pay on Complete’).
This required an accurate estimation of the vehicle's potential profitability and a structured commission model to ensure fair payouts for affiliates while maintaining sustainable margins for our client.
McQueen Autorcorp's raw, unstructured vehicle sales data was on the AWS cloud. As the data had to be sifted, sorted, and structured based on relevant data points, the first step was to migrate all the data from AWS to Snowflake.
The structured data then had to be used to create a model that accurately predicted a vehicle's profitability before it was sold. This required expertise in data analytics, an obstacle that made optimizing their new payment model complex.
Why Maruti Techlabs?
Our client needed a company that could implement complex business logic and create user-centered software products based on an in-depth understanding of their requirements. Maruti Techlabs stood out as the perfect fit.
The client initiated vendor selection by scrutinizing several top-tier software development companies, including Maruti Techlabs. Our portfolio, customer references, and relevant experience of building similar platforms helped us secure a place among their carefully curated list of potential vendors.
Our prompt response to their Request for Information (RFI) document also left a favorable first impression, and solidified their confidence in our abilities. We competed with eight other vendors and successfully progressed to the Request for Proposal (RFP) stage.
A thorough assessment of the RFP responses and extensive consultations with sales, business analysts, and development teams made Maruti Techlabs their top choice. Subsequently, we organized a 7-day discovery workshop to delve deeper into the project specifics.
The 7-day discovery workshop left a lasting impression on the client. They comprehensively evaluated our technical understanding, delivery capacity, pricing, and quality.
Solution
Our data analytics team proposed a 3-step solution to develop an operational sales model.
1. Data Migration:
As a first step, we migrated the vehicle sales data from AWS to Snowflake.
2. Structuring Historic Sales Data:
Our data science team then applied tools and manual efforts to create numerous data sets that could be leveraged to develop a predictive analytics framework.
3. Developing a Sales Model:
The relevant data sets were then integrated into Snowflake and migrated to Domo using Stitch. A predictive model was created leveraging our data analytics team's expertise and features like AutoML in Domo.
4. Implementing the Model:
The ‘Pay on Complete’ model was implemented in September 2024, and an evident decrease in commissions and additional fees compared to what was previously offered to affiliates was observed.
Your product idea. Our engineering prowess & seamless execution.
Communication and Collaboration
We collaborated closely with McQueen Autocorp's Senior Vice President and Product Owner throughout this project's discovery, planning, and implementation phase.
A dedicated three-member team worked extensively for two months, including data analysts and the technical project manager.
Our team relied on Jira, Slack, and Zoom to ensure transparent operations, efficient task management, and seamless communication.
Technology Stack
Our Development Process
We follow Agile, Lean, & DevOps best practices to create a superior prototype that brings your users’ ideas to fruition through collaboration & rapid execution. Our top priority is quick reaction time & accessibility.
We really want to be your extended team, so apart from the regular meetings, you can be sure that each of our team members is one phone call, email, or message away.
