CARS24's AI-Based Used Car Pricing Model
Industry & Competitive Context
India's used-car market is large, fast-growing, and structurally informal. Independent market-research publishers estimate the market at roughly US$32–37 billion as of 2025–26, projected to grow at a compound annual rate in the 14–18% range toward the early 2030s, driven by rising middle-class incomes, financing penetration, and longer vehicle ownership cycles with volumes around 5.9 million units in FY2024-25 projected to reach approximately 9.5 million units by 2030. Industry reports identify Cars24, CarTrade, OLX, Spinny, and OEM-backed programmes such as Mahindra First Choice Wheels and Maruti Suzuki True Value as the principal organised-sector competitors, with players increasingly differentiating through AI-driven pricing tools, multi-point inspection facilities, and financing partnerships. One market-research estimate places the top five organised players Cars24, Maruti Suzuki, Mahindra First Choice Wheels, Spinny, and CarTrade at a combined 55–65% share of the organised segment specifically, a figure distinct from the broader, still-informal total market. Persistence Market ResearchMarkNtel Advisors
CARS24 was founded in Gurugram in 2015 by Vikram Chopra, Mehul Agrawal, Gajendra Jangid, and Ruchit Agarwal as an online platform enabling car owners to sell used vehicles through a digital process involving inspections and price discovery. The founding team combined engineering, consulting, and finance backgrounds: Chopra holds engineering degrees from IIT Bombay and an MBA from the University of Pennsylvania and previously worked at Sequoia Capital and McKinsey & Company, while Agrawal holds an MBA from IIM Calcutta and had worked at BCG. The company expanded internationally into the UAE, Thailand, and Australia from 2021 while retaining an offline inspection and transaction infrastructure alongside its digital platform.
Brand Situation Prior to the AI Pricing Model
Before organised, technology-led players scaled, used-car pricing in India was dominated by informal intermediaries and local dealers. CARS24's own published material while promotional rather than independent describes the pre-existing environment consistently with independent market commentary: local dealer valuations were typically based on brief visual inspections, lacked standardisation across dealers quoting for the same vehicle, and involved prolonged negotiation, with dealers often working on commission structures that incentivised profit-maximising rather than transparent pricing. Company blog posts describe the pre-2018 internal process similarly: according to CARS24's own data-science blog, manual pricing experts reviewed inspection reports to estimate depreciation before the company built an automated pricing algorithm, a shift undertaken to improve scalability and reduce inconsistency arising from subjective human judgment.
Strategic Objective
Public statements from CARS24 point to two related objectives behind its investment in algorithmic pricing rather than a single marketing campaign. First, an operational objective: the company's own data-science team describes the aim as building "an algorithm that could correctly predict the price of any inspected car in a faster and more reliable way," reducing dependence on manual pricing specialists while accounting for make, model, age, mileage, inspection parameters, documentation, and localised demand. Second, a brand-trust objective: CARS24's public-facing communications consistently frame the pricing engine as a mechanism to remove human bias and negotiation friction from a historically opaque category, positioning fixed, data-derived pricing as its core point of differentiation from dealer-based and classifieds-based competitors who quote variable, negotiated prices. MediumCARS24
A verifiable corporate-level objective tied more broadly to the technology function was disclosed in 2026: as part of its pre-IPO positioning, CARS24 committed $20 million to a new initiative, Cars24 Labs, spanning proprietary AI product development, partnerships with frontier AI companies, and investment in early-stage AI startups, with the company stating it was already working with OpenAI, ElevenLabs, and Amazon Web Services. This confirms that AI investment, of which pricing is one application, remains an active strategic priority rather than a completed, static initiative. MEDIANAMA
Architecture & Execution of the Pricing Model
The clearest documented account of the model's technical evolution comes from CARS24's own data-science team, published on the company's official Medium blog. According to this source, the core pricing engine is internally named Profecto "the pricing engine which establishes true price of a car accounting for make, model, age, mileage, inspection parameters, documentation and localized demand" and forms one of several interlocking machine-learning modules described alongside it: a catalog-sorting module ("Auctoris") for surfacing relevant auctions to dealer partners, and a conversion-and-acceptance likelihood model ("Oraculum") used to optimise post-auction processes. The company states that pricing was fully manual until roughly mid-2018, when it was automated to reduce subjectivity and improve reliability at a time when the company had inspected and auctioned around 550,000 cars and transacted more than 135,000 of them over roughly three-and-a-half years of operation. MediumMedium
CARS24's current public-facing description of the model, published on its own website, states that the engine is trained on more than 1 million (10 lakh+) car-sale transactions collected since 2015, and is described as real-time and continuously learning from live market behaviour. The company describes the underlying inputs as combining historical transaction data, current market demand, regional price differentiation, and historical depreciation trends, integrated with results from a 140-point physical inspection. A separate company article describes the pricing process as resting on three combined pillars: the AI pricing engine analysing transaction history and market trends, a physical inspection verifying condition across more than 140 parameters, and live dealer-bidding feedback that adjusts visibility and offers based on real-time dealer response. Cars24 AI-Powered Valuation | Get the Best Price for Your Used Car +2
This last element live auction feedback is a structurally distinctive part of CARS24's model relative to a pure valuation calculator. The company states that the algorithmic estimate functions as a starting reference point rather than a final price, with dealer auctions across a network the company describes as more than 20,000 verified dealers in over 1,500 cities placing live, competitive bids that can move the final price up from the initial algorithmic estimate. CARS24 describes this combination as an "auction-intelligence loop," in which data-driven pricing is combined with actual buyer behaviour so that the estimate is grounded in practical market response rather than a static calculation alone. CARS24CARS24
On geographic and demand sensitivity, the company states that pricing is dynamically adjusted by city based on local demand, supply, and regional market trends across more than 250 cities, and that the system is designed to update quickly in response to external shocks: according to one company article, if market conditions shift for example, due to a change in fuel prices or a new model launch the valuation logic is designed to update within minutes, drawing on the continuous stream of dealer bidding data across the marketplace. CARS24CARS24
CARS24's investment in this capability has also been referenced in the context of a dedicated engineering facility. Per a company statement reported by Business Standard, CARS24 opened an engineering research and development centre intended to focus on vehicle inspection, refurbishment, and reconditioning technology, alongside developing statistical models and machine-learning algorithms to predict future vehicle demand, identify growth opportunities, and optimise pricing strategies. Business Standard
Positioning & Consumer Insight
CARS24's positioning around its pricing model is built on a single recurring consumer insight, repeated consistently across its own public communications: that price inconsistency and negotiation fatigue, rather than price level alone, are the primary sources of consumer distrust in the used-car category. The company's messaging explicitly contrasts its model against dealer-based negotiation, stating that "lack of standardisation" between dealers offering substantially different prices for the same vehicle, combined with a commission-based incentive structure, has historically pushed dealer pricing away from a vehicle's underlying value. This translates into a "fixed-price," non-negotiable positioning: CARS24 states directly that the price shown on its platform is not negotiable, as the AI-powered engine is presented as having already optimised for a competitive and fair figure. CARS24
A second insight embedded in the company's positioning concerns the limits of self-reported condition. CARS24 frames the combination of algorithmic pricing with mandatory physical inspection as addressing the information asymmetry that undermines simple online calculators: the company states that its 140-point inspection results are integrated into the pricing system specifically to ensure the price reflects a car's actual mechanical and aesthetic condition rather than only its stated specifications. The brand implicitly positions "data plus verified inspection plus live market feedback" against three alternative approaches it names as weaker: informal dealer guesswork, unverified online classifieds, and single-point calculator tools that lack a live-transaction feedback loop. CARS24
Media & Channel Strategy
CARS24's pricing model itself was not launched as a discrete marketing campaign with a documented media plan; rather, it is an operational and product capability communicated primarily through the company's owned channels (its website, blog, and app) rather than through a dated advertising push. The clearest verifiable brand-marketing datapoint tied to the wider company is the 2019 association with cricketer Mahendra Singh Dhoni, who invested in CARS24 during a funding round in 2019 and also became the company's brand ambassador. No verified public information is available on specific media spend, campaign flight dates, agency partners, or advertising creative tied specifically to communicating the AI pricing model as opposed to the CARS24 brand generally. Ascendants
Separately, CARS24 has used content and acquisition to build category authority: the company acquired Team-BHP, described as India's largest online automotive community, in April 2025, which the company has stated was intended to combine enthusiast and peer knowledge with its digital marketplace and to strengthen the acquired platform's product, technology, and AI capabilities. IMARC
Business & Brand Outcomes
CARS24's growth and financial trajectory is relatively well documented through funding announcements and, more recently, regulatory filings ahead of a planned public listing.
Funding and valuation: CARS24 raised a Series E round in November 2020 that made it India's first unicorn in the used-car/auto space, valuing the company at over $1 billion. This was followed in September 2021 by a $450 million round (a $340 million Series F equity component led by DST Global, Falcon Edge, and SoftBank Vision Fund 2, plus $110 million in debt) that valued the company at $1.84 billion, and in December 2021 by a $400 million round (a $300 million Series G equity component plus $100 million debt) that nearly doubled the valuation to $3.3 billion. Friday, December 19, 2025].
Revenue and profitability: Financial performance has been volatile and, in recent years, declining at the top line while losses have narrowed. CARS24 reported revenue of Rs 5,535 crore in FY23, an 8% increase over FY22's Rs 5,136.5 crore, alongside a pre-tax loss of Rs 467.8 crore in FY23 compared with Rs 1,093.1 crore in FY22. Revenue rose approximately 25% to Rs 6,917 crore in FY24, but then declined: FY25 gross revenue fell 10% to Rs 6,233 crore, with net losses rising 9% to Rs 543 crore, and FY26 revenue from operations fell a further 18.3% to Rs 5,092 crore, with the core auction-and-retail segment (roughly 87% of operating revenue) declining 22.7%, even as net loss narrowed 18.8% to Rs 441 crore. Company disclosures for FY26 also stated that CARS24 reported an adjusted EBITDA-profitable quarter for the first time in Q4 FY26, attributing the improvement partly to "AI-led efficiencies," alongside growth in its lending vertical, network effects, and lower customer acquisition costs though the company's own attribution of this improvement to AI is not independently broken out or audited in isolation from other stated efficiency drivers. Cars24 reports revenue of Rs 5,535 cr in FY23, 8% increase from FY22 +4
Competitive standing on outcomes: Reporting on FY26 results explicitly notes that Spinny "emerged as the leading player in India's used-car retail space, with revenue growing over 28% in FY26," in contrast to CARS24's continued decline an important, independently reported counterpoint to CARS24's own historical claims of dominant market share. Entrackr
IPO trajectory: As of the most recent disclosures located, CARS24 is in the process of redomiciling from Singapore to India as a precursor step to filing draft IPO papers, and CEO Vikram Chopra stated in January that the company was planning to launch its IPO within the following twelve months. Two co-founders have exited operational roles ahead of this listing: Gajendra Jangid announced his exit from an executive position, followed a day later by co-founder Mehul Agrawal stepping down from his operational role, both described as part of a founder-level reshuffle as the company prepares for its IPO. Cars24 India's revenue takes another hit as core biz falls 23% in FY26.
Strategic Implications
CARS24's pricing-model narrative illustrates several tensions relevant to platform and marketplace strategy. First, there is a visible gap between company-communicated claims and independently reported competitive data: CARS24's own 2021 press materials describe it as holding "over 90 per cent market share in India" in the online used-car segment, while more recent, independent market-research segmentation places combined top-five organised-sector share (of which CARS24 is one player among several, alongside Maruti Suzuki, Mahindra First Choice Wheels, Spinny, and CarTrade) at a narrower 55–65% of the organised segment specifically, not the total market, and identifies Spinny as the fastest-growing named competitor on recent revenue trends. This gap is analytically useful: it suggests that self-reported "AI-led" or "data-led" differentiation claims should be read alongside independently verified market and financial data before being treated as durable competitive moats. gulfnewsMarkNtel Advisors
Second, the model demonstrates a genuine structural interdependency between algorithmic pricing and marketplace liquidity that is uncommon outside two-sided platforms: CARS24's own technical description makes clear that the pricing engine's stated advantage rests not purely on historical data volume but on continuous feedback from live dealer bidding across its stated network of over 20,000 dealers. This implies that the pricing model's competitive value is difficult to detach from CARS24's transaction volume and dealer network scale a reinforcing loop rather than a standalone algorithmic asset that could be easily replicated by a smaller entrant with data alone.
Third, the FY24–FY26 financial trajectory rising revenue in FY24 followed by two consecutive years of revenue decline in the core auction-and-retail business alongside narrowing losses suggests a strategic pivot toward margin discipline and profitability ahead of a public listing, rather than continued volume-led growth. The extent to which AI-driven pricing and operational efficiency (as opposed to other factors, such as reduced marketing spend, procurement cost control, or a mix shift toward higher-margin retail transactions) has driven this narrowing of losses is asserted by the company but not independently decomposed in any public source located.
Finally, CARS24's 2026 commitment of $20 million to a dedicated AI investment vehicle, undertaken explicitly in the run-up to an IPO, signals that the company is positioning "AI-led" capability of which used-car pricing is the original and most mature application as a forward-looking equity-story narrative for public-market investors, extending the pricing engine's original operational purpose into a broader corporate positioning asset.
Discussion Questions
CARS24 promotes a "fixed, non-negotiable" AI-derived price as a source of consumer trust, yet its model also relies on live dealer bidding that can move the final price upward after the initial estimate. Does this hybrid structure strengthen or undermine the "fixed-price" positioning, and how should CARS24 communicate this nuance to sellers?
CARS24's self-reported historical market-share claims (over 90%) diverge substantially from more recent independent estimates of organised-sector share (55–65% among the top five players). What does this divergence suggest about how platform companies should be evaluated on "AI-led differentiation" claims ahead of an IPO?
CARS24's pricing engine (Profecto) depends on continuous data from live dealer auctions across a large network, rather than historical data alone. What are the strategic implications of an AI model whose accuracy is structurally tied to marketplace liquidity, for a company facing declining core-segment revenue?
Given that CARS24's revenue from its core auction-and-retail business declined in both FY25 and FY26 while a competitor (Spinny) grew, what hypotheses would you generate and what additional public disclosures would you need to assess whether the pricing model itself is a source of competitive advantage or is being outpaced by rival approaches?
CARS24 has moved from an operational AI application (pricing) toward a broader $20 million AI investment initiative (Cars24 Labs) ahead of its planned IPO. From a corporate strategy perspective, what risks and opportunities arise when a company reframes a functional capability as a headline strategic narrative for public-market investors?
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