Walmart · Microsoft
22% — global ecommerce growth
Independently reportedRetail & e-commerce · Search & retrieval · LLM · In production · 2024
Search & retrieval
Philips · Market Logic
Vendor-reportedHealthcarePilotEnterpriseLLM
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by marketlogicsoftware.com (vendor self-report). Checked against the source page on 2026-09-05. 7 of 9 figures below appear on that page word for word; the rest are marked.
The problem
Existing knowledge management solutions use unintuitive search logic, making it hard to get commercial insights from knowledge assets, leading to long insights discovery pathways.
What was deployed
- Vendor
- Market Logic
- Products
- DeepSights
- Technique
- LLM
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- 150 high-quality documents curated around specific healthcare themes from Philips' knowledge assets.
- Scale
- ~150 curated documents; 2 testers; 27 test questions (pilot scope)
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
64%Winning answer success ratefrom 50%
“In terms of winning answers, ChatGPT and Bing had a moderate success rate of 50%, while DeepSights surpassed them, successfully answering questions 64% of the time.”
Not found on the source page in these words
71%Answer reliability (verifiable sources)from 14%
“Compared to ChatGPT and Bing, which provided verifiable, trustworthy information only 14% of the time, DeepSights offered a much higher level of reliability. The client was able to verify the sources cited in DeepSights’s answers 71% of the time.”
Not found on the source page in these words
89%Proficiency in answering business questionsfrom 89%
“When compared to Philips’ existing knowledge management system, DeepSights™ demonstrated similar proficiency in answering business questions, both achieving an 89% success rate.”
Quoted word for word from the source
89%Hit rate (answers in top 3 search results)from 59%
“While the answers were found within the first three search results only 59% of the time on the internal platform’s search engine, DeepSights™ achieved this 89% of the time.”
Quoted word for word from the source
instantaneouslyTime to find an answerfrom 16.8 minutes
“On Philips’s internal platform, it took the team an average of 16.8 minutes to find an answer. In contrast, with DeepSights™, the answer appeared instantaneously.”
Quoted word for word from the source
7.5 hoursResearch time saved per personover the course of the test (27 questions)
“Estimated 7.5 hours of research saved per person over the course of the test (27 questions).”
Quoted word for word from the source
16.8 minutesResearch time saved per question
“16.8 minutes research time saved per question: DeepSights™ vs. Philip’s search function”
Quoted word for word from the source
Answer reliability
“57% higher level of answer reliability, compared to ChatGPT and Bing”
Quoted word for word from the source
Answer hit rate
“30% higher answer hit rate than Philips’ internal platform’s search function”
Quoted word for word from the source · round percentage, no baseline given
“Generative AI is like the dawning of the Age of Aquarius … it’s going to differentiate people who adopt this technology from the people who resist it. And the people who adopt it will definitely have an advantage.”
Difficulties and limits
- Ensuring the reliability of generative AI sources
- Generative AI providing wrong answers (hallucinations)
- Losing control over the decision-making process
- Inability to explain AI-generated insights to stakeholders
- Initial non-responses to queries due to insufficient critical mass of information
- DeepSights™ has a built-in limit to generate up to three answers per query, which restricts the range of responses.
Sources
- marketlogicsoftware.com — vendor self-report, 2023-10-02
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