Mahogany Suite · Hand-finished edits · Free shipping over $90
Mahogany suite · Cascade overlap
USD390.00 USD433.00

Lenovo ThinkCentre M70q Tiny, Intel Core i5-10400T 2.0GHz, 32GB DDR4, 512GB NVMe SSD, Refurbished 23.8" 000:1 contrast ratio(typical) Windows 10 Pro

4.2
SKU 76975474356

Pay in 4 interest-free payments of $97.50 Learn more

Shipping Estimate
USA
  • USA
  • CAN

Ships within 48 hours · Estimated delivery Oct 23 - Oct 28

Suite notes

Mahogany paper grain — description and returns beneath the overlapping buy card.

Description

Lenovo ThinkCentre M70q Tiny, Intel Core i5 10400T 2.0GHz, 32GB DDR4, 512GB NVMe SSD, Refurbished 23.8" 000:1 contrast ratio(typical) Windows 10 Pro 000:1 contrast ratio(typical) Dell Precision 3570 Laptop (REFURBISHED) 2 Gen 1 (Always On and fast charge) Operating Systems: Windows 11 Professional 64 Bit

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

Frequently Asked Questions for Lenovo ThinkCentre M70q Tiny, Intel Core i5-10400T 2.0GHz, 32GB DDR4, 512GB NVMe SSD, Refurbished 23.8" 000:1 contrast ratio(typical) Windows 10 Pro

What should I check before agreeing to a seller's proposed resolution?

If someone else manages the order, confirm that they understand the proposed outcome. Keep any unresolved question explicit rather than assuming it was included automatically.

How should I assess customer reviews before making a purchase?

Check whether a described problem relates to a stated product limitation. Avoid interpreting popularity as proof that the product meets your individual requirements.

How can I check whether a purchase involves ongoing commitments?

Check what happens at the end of a disclosed initial period. Check whether future charges are described clearly before accepting them.

Discover

Random picks

You may also like

Recommended

recommand products