TOTO S7 WASHLET+ Electronic Bidet Toilet Seat with EWATER+ Bowl and Wand Cleaning and Contemporary Lid, Elongated, Cotton White, Plastic, SW4726AT40#01
SKU: 87013694558

TOTO S7 WASHLET+ Electronic Bidet Toilet Seat with EWATER+ Bowl and Wand Cleaning and Contemporary Lid, Elongated, Cotton White, Plastic, SW4726AT40#01

Sale price$575.55 Regular price$639.50
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Description

TOTO S7 WASHLET+ Electronic Bidet Toilet Seat with EWATER+ Bowl and Wand Cleaning and Contemporary Lid, Elongated, Cotton White, Plastic, SW4726AT40#01TOTO S7 WASHLET+ Electronic Bidet Toilet Seat with EWATER+ Bowl and Wand Cleaning and Contemporary Lid, Elongated, Cotton White, Plastic, SW4726AT40#01 The TOTO T20 T40 WASHLET+ and Auto Flush Ready S7 Elongated Bidet Toilet Seat with EWATER+ and Auto Open and Close Contemporary Lid is an electronic luxury seat that cleanses you with endless warm water, providing an exceptionally clean feeling. Instead of traditional toilet paper that can sometimes be

TOTO S7 WASHLET+ Electronic Bidet Toilet Seat with EWATER+ Bowl and Wand Cleaning and Contemporary Lid, Elongated, Cotton White, Plastic, SW4726AT40#01

The TOTO T20/T40 WASHLET+ and Auto Flush Ready S7 Elongated Bidet Toilet Seat with EWATER+ and Auto Open and Close Contemporary Lid is an electronic luxury seat that cleanses you with endless warm water, providing an exceptionally clean feeling. Instead of traditional toilet paper that can sometimes be rough and often ineffective, the WASHLET quickly provides comfortable warm water cleansing at the touch of a button. The TOTO T20/T40 WASHLET+ Ready WASHLET S7 is designed to conceal the WASHLET bidet seat's power cord and water supply hose for a seamless installation. The WASHLET features TOTO's technologically advanced EWATER+ system that mists the wand and toilet bowl, reducing the need for harsh cleaning chemicals. PREMIST wets the surface of the toilet bowl, aiding in the removal of waste and resulting in a better clean. No need to touch buttons or handles, and never worry about someone forgetting to flush. WASHLET S7 is operated by a luxury style illuminated touch button remote with 4 user memory to save preferred settings. The WASHLET features 5 spray settings, heated seat, air deodorizer, nightlight, and instantaneous water heating. The newly redesigned lid style resides flush with the toilet bowl, providing a streamlined look and giving the impression of an integrated system. The WASHLET reduces the need for toilet paper, saving trees and water used to manufacture each roll. Medical conditions, age, and debilitating illnesses can make using the bathroom without assistance almost impossible; but with a WASHLET, just the touch of a button can leave you feeling clean. Includes mounting and connection hardware. WASHLET+ WASHLET models are designed to work with TOTO T20/T40 WASHLET+ ready toilets to achieve a seamless look, but are also compatible with standard elongated toilet bowls.

This product can expose you to chemicals including Lead, which is known to the State of California to cause cancer and birth defects, and other reproductive harm. For more information go to www.P65Warnings.ca.gov.

Please see our color disclaimer.

Features


  • A REFRESHING CLEAN FOR EVERYONE - Instant and continuous warm water stream will last as long you need it; AIR-IN WONDER WAVE provides a gentle, yet effective clean every time by infusing air into each droplet; Oscillating and pulsating functions
  • STEP INTO A LAVISH STANDARD OF LIVING SoftClose heated bidet seat provides consistent warmth coverage over full seat surface; Air deodorizer neutralizes bathroom odors with powerful air filters; Adjustable warm air dryer provides easy clean up; Nightlight gently illuminates the room
  • CLEAN INNOVATIONS OFFER PEACE OF MIND - PREMIST helps prevent waste from adhering by misting the toilet bowl before each use; EWATER+ cleans the inside and outside of the wand before and after use and helps to clean the toilet bowl upon departure; TOTO auto flush compatible with separately sold kit
  • EMBRACE YOUR UNIQUENESS - The convenient remote allows users to control and set personalized water cleansing settings. Provides luxury and cleanliness at your fingertips; 4-user memory settings for quick access
  • EXPERIENCE EVERYDAY EXCELLENCE 60 Million WASHLET users agree TOTO electronic bidet toilet seats are trusted and dependable with a high-quality design for long lasting benefits; Easy DIY installation; Fits most standard toilets, including TOTO WASHLET+ toilets with concealed connection

Details


Battery Included: Yes
Battery Type: Alkaline
Box Height: 6.25"
Box Length: 23.375"
Box Weight: 14.5 lb(s)
Box Width: 17.625"
Category: Washlet
Collection: WASHLET+
Color: Cotton White
Country of Origin: Malaysia
HTS Code: 3922.20.0000
Item Height: 4.0625"
Item Length (Front to Back): 20.875"
Item Weight: 14.5 lb(s)
Item Width (Side to Side): 15.0625"
Material: Plastic
NMFC Code: 159003
SKU: SW4726AT40#01
Shape: Elongated

Warranty


Manufacturer One Year Limited
Toto Warranty Details (PDF)

Manual(s)


Manual 1 (PDF)

Installation Instructions


Installation Instructions (PDF)
Product Specifications (PDF)

Video(s)


Product Video
Shipping Notes
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Exchange/Return Notes
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SKU: 87013694558

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4.1 ★★★★★
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Product Reviews
O
Om S
Pawtucket, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Charlottesville, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Cuba, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Lexington, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Dallas, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025

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