computer science

Trax Retail

Trax Retail is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Trax Retail rather than just read about it. In short: Trax is a technology company headquartered in Singapore, with offices throughout the Asia-Pacific, Europe, the Middle East, North America, and South America. Founded in 2010 by Joel Bar-El and Dror Feldheim, Trax has more than 150 customers in the retail and FMCG industries, including beverage company Coca-Cola and brewer Anheuser-Busch InBev.

Key takeaways

Trax Retail belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Trax Retail to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Trax Retail from memory before moving on to harder problems.

Reference excerpt

Trax is a technology company headquartered in Singapore, with offices throughout the Asia-Pacific, Europe, the Middle East, North America, and South America. Founded in 2010 by Joel Bar-El and Dror Feldheim, Trax has more than 150 customers in the retail and FMCG industries, including beverage company Coca-Cola and brewer Anheuser-Busch InBev. Customers use the company's computer vision technology to collect, measure, and analyze what's happening on physical store shelves. Trax's services are available in 45 markets. Trax's development center opened in July 2012 in Tel Aviv. In 2015, the company opened its first two regional offices: London in January and São Paulo, Brazil, in April. In March 2016, Trax established its US headquarters in Atlanta, Georgia. The company opened two more regional offices in Shanghai and Mexico City in June and September 2016, respectively.

Funding Trax closed its first round of funding (seed round) for US$1.1 million in June 2011. In Aug 2013 it raised US$6.6 million in Series A financing, and US$15.7 million in February 2014 and US$15 million in December 2014 as part of its Series B round. In June 2016 and February 2017 the company raised US$40 million and US$19.5 million respectively as part of its Series C round, led by Broad Peak Investments. In July 2019, it raised $100 million in a series D round led by Chinese alternative asset manager Hopu Investments. In April 2021, it raised $650 million in a series E round led by SoftBank Vision Fund and BlackRock. In January 2024, Trax secured $50 million in venture debt financing from Deutsche Bank Private Credit & Infrastructure to expand its "Signal-Based Merchandising" platform.

Organizational changes Trax announced key organizational changes in February 2021. Justin Behar is now the chief executive officer. Behar joined Trax in 2018 as part of Trax's acquisition of Quri, a company he founded. Trax co-founders Joel Bar-El and Dror Feldheim are appointed Executive Chairman and President respectively. Bar-El heads efforts on corporate strategy, long-term vision and innovation and shareholder value creation. Feldheim leads new growth initiatives, global partnerships/alliances and M&A.

Mergers and acquisitions Trax has made 8 acquisitions since its inception: On July 12, 2017, Trax announced that it had acquired Nielsen Store Observations (NSO) project-based services in the US from Nielsen Corporation. On January 18, 2018, Trax announced that it had acquired US-based Quri, a provider of crowdsourced data on in-store conditions for the consumer packaged goods (CPG) industry. In June 2019, Trax announced its acquisition of LenzTech, a Chinese-based company providing artificial intelligence (AI), crowdsourcing services, and Big Data analysis to the retail market. In July 2019, Trax announced the acquisition of Shopkick, a US-based company whose shopping app for smartphones and tablets allows users to earn rewards for their online and in-store shopping activities. In March 2020, Trax acquired Survey.com, a Boston-based retail intelligence and merchandising company. Contemporary reports stated that the acquisition combined Survey.com's retail execution and sales activation capabilities with Trax's retail analytics and computer vision technologies.

Corporate restructuring In 2025, Trax Limited announced the divestiture of its image recognition business to private equity firm Gemspring Capital. According to the company, the remaining businesses would continue operating under Trax Ltd. and focus on growth and market expansion. As of 2026, Survey.com's published privacy policy identifies BET Information Systems, Inc. ("BET") as the operator of the Survey.com website, mobile applications, dashboards, and related services.

Partnerships In January 2019, Trax announced a partnership with Google Cloud Platform. Using Google Cloud Platform, Trax aims to deliver its Retail Watch image recognition product and machine learning capability to retailers to provide real-time shelf insights, such as out-of-stock products.

Technology Trax's computer vision technology uses artificial intelligence, fine-grained image recognition, and machine learning engines to convert store images into shelf insights. The technology can recognise products that are similar or identical, such as branded drinks or shampoo bottles but can also differentiate between them based on variety and size. Trax piloted its machine learning algorithms with initial customers, allowing its algorithm to learn about different products. As the company processes more images, the better the technology gets at recognizing the same products in different shapes and sizes.

References

Illustrations

Worked examples

Example 1 — a first encounter with Trax Retail

Start with the simplest possible case. Write down what Trax Retail claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Trax Retail before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Trax Retail ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Trax Retail

In research: Trax Retail appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Trax Retail in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Trax Retail is common in secondary-school and first-year university syllabi. It links to neighbouring topics Companies of Singapore, Computer vision software, so understanding it makes those chapters shorter.
In everyday life: Look for Trax Retail outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Trax Retail” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Trax Retail in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Trax Retail means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Trax Retail out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Trax Retail in simple terms?

Why does Trax Retail matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Trax Retail?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Trax Retail.