SKU: 54104641964

4-Door Vertical Locker for Office Gym Shed School Home Storage

Sale price$138.56 Regular price$153.95
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Ships within 48 hours · Estimated delivery Aug 6 - Aug 11

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Description

4-Door Vertical Locker for Office Gym Shed School Home StorageSlim and versatile, the 4 Door Storage Locker gives up to four people the ability to store personal belongings at work or at school. It may just be the storage solution you've been looking for. Four vertically stacked lockers provide a good amount of room for small personal belongings, purses, textbooks, office supplies, and much more. This comes comes with standard locks (with 2 keys each) to ensure safety of your items. The locker is constructed

Slim and versatile, the 4-Door Storage Locker gives up to four people the ability to store personal belongings at work or at school. It may just be the storage solution you've been looking for.

Four vertically-stacked lockers provide a good amount of room for small personal belongings, purses, textbooks, office supplies, and much more. This comes comes with standard locks (with 2 keys each) to ensure safety of your items.

The locker is constructed with solid cold-rolled steel plate for excellent sturdiness and durability, not to mention an attractive look. The steel is also powder-coated to resist corrosion. The locker measures 180 x 38 x 45cm, and the maximum recommended weight capacity is approximately 30kg per locker. There are spaces designated for labels to help identify lockers, and air vents are built-in to assure sufficient ventilation.

For even more storage, consider buying two or more units, which can be placed side by side where you need them. A simple design makes assembly easy, and your locker could be up and ready in minutes. Full assembly instructions are included.

The 4-Door Storage Locker will offer plenty of functional storage to satisfy your multi-user storage needs. Take advantage of our low everyday price and buy today!

Features of the 4-Door Storage Locker:

  • 4 lockers, vertically stacked
  • Colour: Black
  • Lock: Standard Lock with 2 Keys
  • 2 Keys per Lock. 4 Locks in total
  • Assembled Locker dimensions: 180 x 38 x 45cm (H x W x D)
  • Packaging dimensions: 192 x 55 x 7cm (H x W x D)
  • Built-in air vents for locker ventilation
  • Privacy and security
  • Recommended weight capacity: 30kg per locker
  • Durable cold-rolled steel plate construction
  • Powder-coated to resist corrosion

Features of Standard Lock with 2 Keys:

Made with heavy-duty metal, this lock is extremely durable and resists corrosion. This secure lock from Salvatore Angelotti will hold up even under heavy use. Its finish resists moisture, making it a great choice for moisture-prone locker rooms with sinks, showers, toilets, and other facilities. Its simple design ensures that users won't have to remember numerical combinations, yet its tough construction protects your lockers from break-ins.

Reliable and strong, this lock allows you to give one key to the user and keep the other in a safe location, allowing you to access the contents if the user loses the key or leaves without turning in the key. It's an excellent alternative to combination locks for offices, gyms, or schools. Use it at home in your garage to secure valuable tools. Or, use it to lock a locker inside a wardrobe in your bedroom to keep jewellery, coin collections, or other valuable items safe.

Note: Each Lock on the unit will come with two keys. Locker assembly required; instructions and hardware included.

Attributes:

  • Colour: Black
  • Material: Standard Lock with 2 Keys

Note:
COM (change of mind) Return Policy:
The product must be unopened and in brand new condition, with the return to be organised by the customer. Once received and verified to be in the condition specified, refund is only of the item value minus 15% restocking fee (not including initial shipping). An additional return charge, which is same cost as that of initial shipping, will be deducted from the refund on returns due to delivery failure caused by customer error. For the health and safety of our staff and other customers, we are unable to accept returns of personal use items.

Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. Standard Shipping : 3-10 business days
  • If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
  • We offer a 30-day return/exchange service after receiving.
  • Final sale items are not eligible for returns or exchanges.
  • To process your return/exchange, please contact us at [email protected]
  • Please click here for more details>>> Return & Exchange Policy
SKU: 54104641964

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4.7 ★★★★★
Based on 18 reviews
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Product Reviews
O
Om S
Omaha, 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
Louisville, 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
Waukegan, 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
Charlottesville, 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
Whiting, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025

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