Everyday data like grocery store receipts can help expand access to credit and support upward mobility. Photo by Boxed Water Is Better on Unsplash

More than a billion people worldwide can’t access credit cards or loans because they lack a traditional credit score. Without a formal borrowing history, banks often view them as unreliable and risky. To reach these borrowers, lenders have begun experimenting with alternative signals of financial reliability, such as consistent utility or mobile phone payments.

New research from Rice Business builds on that approach. Previous work by assistant professor of marketing Jung Youn Lee showed that everyday data like grocery store receipts can help expand access to credit and support upward mobility. Her latest study extends this insight, using broader consumer spending patterns to explore how alternative credit scores could be created for people with no credit history.

Forthcoming in the Journal of Marketing Research, the study finds that when lenders use data from daily purchases — at grocery, pharmacy, and home improvement stores — credit card approval rates rise. The findings give lenders a powerful new tool to connect the unbanked to credit, laying the foundation for long-term financial security and stronger local economies.

Turning Shopping Habits into Credit Data

To test the impact of retail transaction data on credit card approval rates, the researchers partnered with a Peruvian company that owns both retail businesses and a credit card issuer. In Peru, only 22% of people report borrowing money from a formal financial institution or using a mobile money account.

The team combined three sets of data: credit card applications from the company, loyalty card transactions, and individuals’ credit histories from Peru’s financial regulatory authority. The company’s point-of-sale data included the types of items purchased, how customers paid, and whether they bought sale items.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says.

The final sample included 46,039 credit card applicants who had received a single credit decision, had no delinquent loans, and made at least one purchase between January 2021 and May 2022. Of these, 62% had a credit history and 38% did not.

Using this data, the researchers built an algorithm that generated credit scores based on retail purchases and predicted repayment behavior in the six months following the application. They then simulated credit card approval decisions.

Retail Scores Boost Approvals, Reduce Defaults

The researchers found that using retail purchase data to build credit scores for people without traditional credit histories significantly increased their chances of approval. Certain shopping behaviors — such as seeking out sale items — were linked to greater reliability as borrowers.

For lenders using a fixed credit score threshold, approval rates rose from 15.5% to 47.8%. Lenders basing decisions on a target loan default rate also saw approvals rise, from 15.6% to 31.3%.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says. “This approach benefits unbanked applicants regardless of a lender’s specific goals — though the size of the benefit may vary.”

Applicants without credit histories who were approved using the retail-based credit score were also more likely to repay their loans, indicating genuine creditworthiness. Among first-time borrowers, the default rate dropped from 4.74% to 3.31% when lenders incorporated retail data into their decisions and kept approval rates constant.

For applicants with existing credit histories, the opposite was true: approval rates fell slightly, from 87.5% to 84.5%, as the new model more effectively screened out high-risk applicants.

Expanding Access, Managing Risk

The study offers clear takeaways for banks and credit card companies. Lenders who want to approve more applications without taking on too much risk can use parts of the researchers’ model to design their own credit scoring tools based on customers’ shopping habits.

Still, Lee says, the process must be transparent. Consumers should know how their spending data might be used and decide for themselves whether the potential benefits outweigh privacy concerns. That means lenders must clearly communicate how data is collected, stored, and protected—and ensure customers can opt in with informed consent.

Banks should also keep a close eye on first-time borrowers to make sure they’re using credit responsibly. “Proactive customer management is crucial,” Lee says. That might mean starting people off with lower credit limits and raising them gradually as they demonstrate good repayment behavior.

This approach can also discourage people from trying to “game the system” by changing their spending patterns temporarily to boost their retail-based credit score. Lenders can design their models to detect that kind of behavior, too.

The Future of Credit

One risk of using retail data is that lenders might unintentionally reject applicants who would have qualified under traditional criteria — say, because of one unusual purchase. Lee says banks can fine-tune their models to minimize those errors.

She also notes that the same approach could eventually be used for other types of loans, such as mortgages or auto loans. Combined with her earlier research showing that grocery purchase data can predict defaults, the findings strengthen the case that shopping behavior can reliably signal creditworthiness.

“If you tend to buy sale items, you’re more likely to be a good borrower. Or if you often buy healthy food, you’re probably more creditworthy,” Lee explains. “This idea can be applied broadly, but models should still be customized for different situations.”

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This article originally appeared on Rice Business Wisdom. Written by Deborah Lynn Blumberg

Anderson, Lee, and Yang (2025). “Who Benefits from Alternative Data for Credit Scoring? Evidence from Peru,” Journal of Marketing Research.

Grocery purchase data can accurately predict credit risk for individuals without traditional credit scores, potentially broadening the pool of qualified loan applicants. Photo via Unsplash

Houston researchers find alternate data for loan qualification

houston voices

Millions of consumers who apply for a loan to buy a house or car or start a business can’t qualify — even if they’re likely to pay it back. That’s because many lack a key piece of financial information: a credit score.

The problem isn’t just isolated to emerging economies. Exclusion from the financial system is a major issue in the United States, too, where some 45 million adults may be denied access to loans because they don’t have a credit history and are “credit invisible.”

To improve access to loans and peoples’ economic mobility, lenders have started looking into alternative data sources to assess a loan applicant’s risk of defaulting. These include bank account transactions and on-time rental, utility and mobile phone payments.

A new article by Rice Business assistant professor of marketing Jung Youn Lee and colleagues from Notre Dame and Northwestern identifies an even more widespread data source that could broaden the pool of qualified applicants: grocery store receipts.

As metrics for predicting credit risk, the researchers found that the types of food, drinks and other products consumers buy, and how they buy them, are just as good as a traditional credit score.

“There could be privacy concerns when you think about it in practice,” Lee says, “so the consumer should really have the option and be empowered to do it.” One approach could be to let consumers opt in to a lender looking at their grocery data as a second chance at approval rather than automatically enrolling them and offering an opt-out.

To arrive at their findings, the researchers analyzed grocery transaction data from a multinational conglomerate headquartered in a Middle Eastern country that owns a credit card issuer and a large-scale supermarket chain. Many people in the country are unbanked. They merged the supermarket’s loyalty card data and issuer’s credit card spending and payment history numbers, resulting in data on 30,089 consumers from January 2017 to June 2019. About half had a credit score, 81% always paid their credit card bills on time, 12% missed payments periodically, and 7% defaulted.

The researchers first created a model to establish a connection between grocery purchasing behavior and credit risk. They found that people who bought healthy foods like fresh milk, yogurt and fruits and vegetables were more likely to pay their bills on time, while shoppers who purchased cigarettes, energy drinks and canned meat tended to miss payments. This held true for “observationally equivalent” individuals — those with similar income, occupation, employment status and number of dependents. In other words, when two people look demographically identical, the study still finds that they have different credit risks.

People’s grocery-buying behaviors play a factor in their likelihood to pay their bills on time, too. For example, cardholders who consistently paid their credit card bill on time were more likely to shop on the same day of the week, spend similar amounts across months and buy the same brands and product categories.

The researchers then built two credit-scoring predictive algorithms to simulate a lender’s decision of whether or not to approve a credit card applicant. One excludes grocery data inputs, and the other includes them (in addition to standard data). Incorporating grocery data into their decision-making process improved risk assessment of an applicant by a factor of 3.11% to 7.66%.

Furthermore, the lender in the simulation experienced a 1.46% profit increase when the researchers implemented a two-stage decision-making process — first, screening applicants using only standard data, then adding grocery data as an additional layer.

One caveat to these findings, Lee and her colleagues warn, is that the benefit of grocery data falls sharply as traditional credit scores or relationship-specific credit histories become available. This suggests the data could be most helpful for consumers new to credit.

Overall, however, this could be a win-win scenario for both consumers and lenders. “People excluded from the traditional credit system gain access to loans,” Lee says, “and lenders become more profitable by approving more creditworthy people.”

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This article originally ran on Rice Business Wisdom based on research by Rice University's Jung Youn Lee, Joonhyuk Yang (Notre Dame) and Eric Anderson (Northwestern). “Using Grocery Data for Credit Decisions.” Forthcoming in Management Science. 2024: https://doi.org/10.1287/mnsc.2022.02364.


Give credit where credit is due. The Woodlands falls in the "very good" category. Photo courtesy of Local Government Federal Credit Union

Houston suburbs charge ahead with some of the highest credit scores in Texas

fit for fico

Give the residents of The Woodlands some credit. They’re able to brag about achieving some of the highest credit scores in Texas.

A new study from personal finance website WalletHub shows the median credit score of a Woodlands resident is 757. Among the 2,572 U.S. cities covered in the study, The Woodlands nabs a 287th-place tie for cities with the highest median credit score.

FICO, the primary producer of credit scores in the U.S., characterizes 757 as a “very good” credit score. On the FICO scale, credit scores range from 300 to 850. A credit score anywhere from 740 to 799 is above the U.S. average “and demonstrates to lenders that the borrow is very dependable,” according to FICO.

WalletHub based the study on September 2021 data from TransUnion, one of the three major credit-reporting bureaus. In the study, The Villages, a retirement community in Florida, is the only city where the median credit score is above 800 — 806, to be exact.

Two other Houston-area suburbs — Montgomery and Friendswood — ranked among Texas cities for the highest credit scores, coming in with a median credit score of 738 and 732, respectively.

Here are the other cities in the top 15 statewide:

  • Colleyville (Dallas-Fort Worth), 777, 23rd nationally.
  • Flower Mound, 762, tied for 185th place nationally.
  • Coppell (Dallas-Fort Worth), 758, tied for 262nd place nationally.
  • The Woodlands (Houston), 757, tied for 287th nationally.
  • Keller (Dallas-Fort Worth), 756, tied for 300th nationally.
  • Allen (Dallas-Fort Worth), 750, tied for 428th nationally.
  • Georgetown (Austin), 749, tied for 446th nationally.
  • Frisco (Dallas-Fort Worth), 748, tied for 467th nationally.
  • Cedar Park (Austin), 743, tied for 568th nationally.
  • Plano (Dallas-Fort Worth), 740, tied for 629th nationally.
  • Montgomery (Houston), 738, tied for 681st nationally.
  • Friendswood (Houston), 732, tied for 784th nationally.
  • Rockwall (Dallas-Fort Worth), 732, tied for 784th nationally.

Among Texas’ biggest cities, Austin is the only one where the median credit score exceeds 700. In the Capital City, the median score is 713, tied for 1,208th nationally. San Antonio is next in line, at 664 (tied for 2,236th nationally), followed by Houston (662, tied for 2281st nationally), Dallas (661, tied for 2,299th nationally), and Fort Worth (615.5, tied for 2,545th nationally).

Bad news for Sugar Land, which is the only Texas city with a median credit score below 600. According to the study, the median score there is 571, putting it in 2,563rd place nationally. FICO identifies that as a “poor” credit score.

J. Keith Baker, a CPA and certified financial planner who teaches at Dallas College’s North Lake campus in Irving, tells WalletHub that the best way to improve or maintain your credit score is to pay your credit card balances in full every month.

“Some folks will close a credit card account thinking it will help them manage their spending and protect them from identity theft since they are not using an account,” Baker says. “While this may make sense for an individual’s financial situation, do not assume it will automatically improve your credit scores.”

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This article originally ran on CultureMap.

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What to expect from the inaugural TiECon Texas event this week

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Innovators and entrepreneurs will gather in Houston this week to show off their latest advancements in automation during the first-ever TiECon Texas conference at the Ion District.

“Automation is not simply changing how we work. It is redefining how value is created across every industry,” Somesh Singh, president of TiE Houston, said in a release. “Texas has the talent, the infrastructure, and the entrepreneurial spirit to lead this transformation. TiEcon Texas 2026 is where the people building that future will come together to shape it."

The Indus Entrepreneurs (TiE) started in Silicon Valley in 1994 as a two-day seminar, but has grown into a worldwide network of events celebrating technological advancement. TiECon in Houston is a merger of the TiE networks across Texas for one large-scale event taking place at the Ion on Wednesday, October 28, and Thursday, October 29. Tickets are available here.

The event includes a partnership with Hatch Pitch, a founder-first startup showcase that has raised over $20 billion in funding for new companies in the tech industry. Participants will come from industries like space exploration, healthcare, energy, and the AI sector to present their ideas in front of an investor network for possible development.

“Over 80 percent of the teams we have coached have gone on to receive funding,” Greg Wright, founder of Hatch Pitch, added in a release.

In addition, there will be forums and talks on a variety of automation subjects, everything from robotic surgery to automation in government. Educators from Baylor College of Medicine, UTHealth Houston, and the University of Houston plan to discuss the raising of children in a world with extensive artificial intelligence integrated into so many areas. Steven Kean, President and CEO of the Greater Houston Partnership, will give the keynote speech on the Bayou City’s place in these emerging technological spheres.

Singh highlighted how the large-scale disruptions in the technological status quo by the rise of AI could be a sign of potential growth and innovation. The entrepreneurs presenting at TiECon may be the ones to harness the sometimes unsteady AI industry for good causes.

“History shows that periods of technological disruption create extraordinary opportunities for those prepared to act,” he said. “TiEcon Texas is designed to help founders, investors, and enterprises understand where the automation economy is headed and how to participate in building it."

Here are the 10 startups pitching during the TiE Hatch Pitch competition:

Houston startup makes Time's list of the best inventions of 2026

Innovation Station

One of the year's most buzzworthy innovations comes from a Houston-based leader in the energy transition. Utility Global's H2Gen recently made Time magazine’s list of the 300 best inventions of 2026.

The H2Gen is an innovative system that produces low-cost clean hydrogen from water and industrial off-gases. The company says the process doesn’t require electricity, a notable claim since hydrogen production typically consumes a lot of power.

"Using a tubular electrochemical cell containing a proprietary electrolyte and water, the company can turn industrial off-gases into hydrogen at scale—no extra electricity required," writes Time. "Bonus: the process also pulls out carbon dioxide as a separate stream, where it can be captured and kept out of the atmosphere.

CEO Parker Meeks tells Time, it's “a practical pathway to decarbonize existing industrial assets."

The startup is on a roll. It has raised $100 million so far in an ongoing Series D round to offer its decarbonization technology at industrial scale around the world.

H2Gen is joined by 10 other inventions with Texas connections onTime's list, as well as one "special mention."

In North Texas, they are:

Samsung
Plano-based Samsung Electronics America pulled off a hat trick this year, with three products making Time’s list. First up is the Galaxy S26 Ultra smartphone. It packs a more powerful camera, Galaxy AI features, and pro-level content creation tools. But Time singled out its new built-in privacy display as the phone’s “biggest selling point.”

Samsung’s Bespoke AI Family Hub refrigerator also got smarter. When AI first came to the Family Hub in 2024, it could recognize some fresh foods, but you still had to log packaged items by hand, Time noted. Now, with Google Gemini built in, the fridge can identify more than 2,000 packaged foods, read handwritten labels, and warn you when food is about to expire. It then uses what’s inside to build grocery lists and suggest recipes.

And for gamers, there’s the Odyssey G8 monitor. Its 6K resolution leapfrogs the 4K standard, delivering what Samsung calls “exceptional visual clarity and detail” on a screen big enough for gaming and multitasking.

OxeFit
Plano-based OxeFit’s XS1 Peak is about the size of a treadmill but works like an entire gym. It can be set up for strength training, simulated skiing or kayaking, Pilates, or rowing. What makes it stand out is a built-in virtual spotter. According to Time, the machine “uses AI, computer vision and sensors to correct the user’s form, change resistance in the middle of a rep and reduce the weight when the user is struggling, much like a human spotter.”

EssilorLuxottica
EssilorLuxottica, the French eyewear giant whose U.S. headquarters is in Farmers Branch, makes Essilor Stellest lenses. The lenses correct nearsightedness while also slowing the eye growth that makes it worse over time. Stellest is the first and only eyeglass lens authorized by the U.S. Food and Drug Administration to control myopia, Time said. The lenses look like regular glasses but contain 1,021 tiny lenslets. In a U.S. trial of kids ages 6-12, myopia progression slowed by an average of 71 percent over two years compared with standard lenses.

Helpany
Helpany, a startup based in Phoenix that manufactures its devices in DFW, makes Paul, a ceiling-mounted gadget that uses radar and AI to spot subtle changes in how residents move and flag those at higher risk of falling. Helpany says the technology can cut falls by as much as 72 percent.

Aurora Innovation
Aurora, based in Pittsburgh with a corporate and operations hub in Coppell, rolled out its second-generation Driver 2 system in July. By September, Driver 2 trucks had logged more than 500,000 driverless miles without a single at-fault crash, Time reported, and the company expects 200 of them on the road by the end of 2026.

Colossal Biosciences
Dallas-based Colossal Biosciences built an artificial egg by placing an ultra-thin, transparent silicone membrane inside a rigid 3D-printed cup, letting scientists watch the embryo develop. Twenty-six chickens have already been hatched.

In Austin, they are:
Cedar Park-based Hyliion landed on Time’s list with its Karno Power Module, a modular generator designed to produce power wherever it’s needed. The Karno represents a big pivot for the company. Hyliion got its start building electrified powertrains for 18-wheelers before shifting into power generation after acquiring the Karno generator technology from GE Aerospace. Founded in Pittsburgh in 2015, the company relocated to Cedar Park in 2018.

The other Austin-associated honoree is Moment Energy. As more electric vehicles hit the road, a growing number of their batteries are nearing retirement, while demand for power keeps climbing. Moment Energy found a way to tackle both problems at once. The company’s Megafactory 1, which opened in Vancouver, Canada, in June, turns old EV batteries into modular energy storage systems for hospitals, factories, data centers, and other big power users. “Our goal is to make sure these batteries don’t end up in landfills,” founder Edward Chiang told Time.

In the “Special Mentions” category, Austin-based Renzoe Box gained notice for its refillable custom makeup palette for on-the-go people. Licensed architect René Graham designed the box. She graduated from Houston's Rice University, and was born and raised in Dallas.

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A version of this article first appeared on CultureMap.com.

4 Houston health tech startups advancing medical innovation

meet the finalists

Houston has been driving medical innovation for decades. And thanks to leading hospitals, cutting-edge research and breakthrough technologies, the region’s healthcare ecosystem continues to improve how patients are diagnosed, treated and cared for.

The Health Tech Business category in our 2025 Houston Innovation Awards will honor an innovative startup within the health and medical technology sectors.

Four forward-thinking businesses have been named finalists for the 2026 award. This year's finalists, selected by our esteemed panel of judges, range from a startup developing miniaturized medical technologies for space to a company using AI to help develop cancer treatment plans.

Read more about these businesses, their innovative founders, and how they're shaping the future of health care below.. The 2026 winners will be announced on InnovationMap.com in mid-November.

Bairitone Health

Bairitone Health is bringing anatomy imaging for sleep apnea to the home environment. The company's platform maps users' anatomy during natural sleep using a facial patch to determine the root cause of airway obstruction. It then offers effective therapies for each patient.

The company was founded in 2022 in the Texas Medical Center's Biodesign program by CEO Meagan Pitcher, CTO Onur Kilic and chief medical officer Britt Cross. It was a member of Activate Houston's inaugural cohort and has participated in numerous accelerators and incubators. The company raised an oversubscribed seed round for $2.4 million earlier this year and received Breakthrough Device Designation from the Food and Drug Administration in April.

InformAI Inc.

InformAI Inc. develops fit-to-purpose AI solutions for the clinical setting. Its RadOncAI product recently received FDA 510(k) clearance. The product uses AI to create a first-pass radiation therapy dose plan for complex head and neck cancers in an effort to eliminate bottlenecks in radiation planning and ultimately cancer treatment. The company has also developed AI products for sinus disease detection and 3D organ reconstruction.

CEO Jim Havelka founded the company in 2017. It is participating in the Mayo Clinic Accelerate Platform. It has raised about $4 million in seed funding and has received numerous non-dilutive grants from the National Science Foundation, the National Institutes of Health and the Cancer Prevention and Research Institute of Texas. The company shared in its application that it plans to launch a Series A fundraising round and submit an FDA 510K application for its organ reconstruction product, Voluquant, by the end of 2026.

Prana Surgical

Prana Surgical is developing a minimally invasive surgical platform for small, hard-to-reach lung nodules that may be cancerous. The company's Prana System cleared U.S. Food and Drug Administration (FDA) approval earlier this year.

Prana Surgical was originally founded as Prana Thoracic in 2022. It has participated in numerous accelerators, including the Texas Medical Center Innovation Accelerator in 2023 and the IGNITE Health accelerator in 2022. It raised $6 million in Series A funding rounds in 2023 and 2024 , with a Series B currently ongoing. The company said in its application that it is currently moving into the next stage of clinical validation and revenue generation in the U.S., in addition to preparing its manufacturing and commercial infrastructure for broader use.

Skybound MedTech

Skybound MedTech develops technologies that aim to address the health risks of long-duration spaceflight. Its compact, miniaturized medical technologies can deliver complex therapies without a physician.

CEO Matthew Kuhn, who previously founded Taurus Vascular, founded Skybound last year. The company emerged from stealth in January after raising a $1.25 million Series A round. It plans to advance its lead dual-use platform into critical preclinical validation in November, the company shared in its application. It is currently raising a $25 million Series A round and is pursuing federal research partnerships with DARPA and ARPA-H.