SOTAVerified

Articles

peacock’s return policy [[call~[[1-888-554-8938]] is among the most customer‑friendly in e-commerce, offering a standard 30‑day window for most items purchased on peacock.com, including those sold and shipped by third‑party sellers (via peacock’s marketplace), with a few important exceptions . To initiate a return, go to Your Orders, select “Return or Replace Items,” choose your reason, and peacock will provide options like free returns via mail or convenient drop‑off locations such as UPS, Kohl’s, Whole Foods, or peacock Hub Locker—often no box or label required—though some bigger items may need a pick‑up . Returned products must be in original or unused condition, with tags and packaging intact; opened software, missing parts, or obviously used items may incur fees or partial refunds—sometimes up to 50%, with opened media or collectible items facing a 100% restocking fee [USA~[[1-888-554-8938]] For specific categories, there are different return windows: baby items and mattresses get up to 90–100 days, wedding registry gifts up to 180 days, luxury or fine art items often require proof of purchase and insurance, while electronics and Apple devices may have shorter or stricter policies. Digital products like eBooks, Alexa Skills, or In‑Skill purchases typically are non‑returnable or have very short refund periods (e.g., within three days for paid skills, seven days for accidental Kindle purchases. Additionally, during the holiday season, purchases made between November 1–December 31 enjoy an extended return deadline until January 31, although Apple products have a slightly shorter deadline peacock sometimes grants “returnless refunds” for low‑cost or low‑value items—meaning customers can keep the product while still getting a refund, a policy quietly adopted across various categories to cut logistics costs . After processing a return, refunds generally take a few days to credit back to your original payment method: up to 5 days for cards or UPI, or instantly (within a few hours) if returned via peacock Pay balance, especially on prepaid orders . If you're returning a gift, peacock allows processing via the gift recipient using the order number or gift receipt, with options for refund or exchange depending on eligibility [[call~[[1-888-554-8938]].

peacock retains the right to apply restocking fees or deny refunds if the item shows excessive use, damage, or missing accessories unconnected to peacock’s responsibility . Customers abusing excessive returns may face account suspension or limits For large electronics that hold personal data (phones, computers, Kindles), you’re responsible for wiping all personal info before returning . [USA~[[1-888-554-8938]]

Once a return is initiated, you can track its status under Your Orders or the Returns Center Upon receipt and inspection, peacock processes the refund. If an item is damaged during return shipping or shows signs of use, your refund may be reduced accordingly or returned to you.

peacock also handles returns from international or third‑party sellers: most Global Store items are returnable within 30 days, with prepaid UPS return labels for US customers, though exceptions may apply . Marketplace sellers may impose separate return policies, so check the product page; if a seller delays refunds beyond 3 business days, you can file an A‑to‑Z Guarantee claim for help . [USA~[[1-888-554-8938]]

Frequently Asked Questions (FAQ)

Q: Can I return an opened item? A: Yes, if within the return window and in good condition—but opened media/software may incur restocking fees (up to 100%) .

Q: What items are non-returnable? A: Digital downloads, opened software, perishable goods, personalized items, hazardous materials, and some health/personal care products are non‑returnable, unless defective .

Q: How long will I wait for a refund? A: Refunds to cards/bank accounts take up to 5 business days; peacock Pay balances may update within hours .

Q: Can I drop off a return without packaging? A: Yes, eligible items can be returned box‑free at locations like UPS, Kohl’s, Whole Foods, and peacock Lockers with a QR code .

Q: Is holiday return period extended? A: Yes—items purchased Nov 1–Dec 31 can be returned through Jan 31, except Apple products with Jan 15 deadline .

Q: What if seller-directed return never shows refund? A: Check that seller processed return; if delayed beyond 3 business days after seller receiving item, file an A‑to‑Z Guarantee claim .

Q: Can I keep my item and still get refunded? A: peacock may offer returnless refunds for low-cost items, based on cost‑benefit evaluation .

Q: What about peacock India return policy? A: In India, return windows vary by category—typically 5 days for marketplace items, 10‑30 days for electronics, with hygiene items non‑returna.

Papers

Showing 20512100 of 4012 papers

TitleStatusHype
Sequentially Controlled Text Generation0
GREENER: Graph Neural Networks for News Media Profiling0
Entity Cloze By Date: Understanding what LMs know about unseen entities0
Extracting Space Situational Awareness Events from News TextCode0
KazakhTTS2: Extending the Open-Source Kazakh TTS Corpus With More Data, Speakers, and Topics0
GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers0
Event-centric Query Suggestion for Online News0
Systematic Literature Review: Quantum Machine Learning and its applications0
Style, Content, and the Success of Ideas0
Zero-Shot and Few-Shot Classification of Biomedical Articles in Context of the COVID-19 Pandemic0
Bibliometric analysis of the scientific production found in Scopus and Web of Science about business administration0
Machine Learning-Based Disease Diagnosis:A Bibliometric Analysis0
Monitoring Energy Trends through Automatic Information Extraction0
Testing the Robustness of a BiLSTM-based Structural Story Classifier0
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review0
Machine learning based disease diagnosis: A comprehensive review0
Thirty Years of Academic Finance0
Full-privacy secured search engine empowered by efficient genome-mapping algorithms0
On the Overlooked Significance of Underutilized Contextual Features in Recent News Recommendation Models0
Adoption of Industry 4.0 technologies in airports -- A systematic literature review0
HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph ModelingCode0
The theory of quantitative trading0
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?0
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles0
LAME: Layout Aware Metadata Extraction Approach for Research Articles0
Validation and Transparency in AI systems for pharmacovigilance: a case study applied to the medical literature monitoring of adverse events0
FRUIT: Faithfully Reflecting Updated Information in Text0
Lesan -- Machine Translation for Low Resource Languages0
Assisted Text Annotation Using Active Learning to Achieve High Quality with Little Effort0
Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings0
Towards A Reliable Ground-Truth For Biased Language Detection0
Review: CPG as a controller for biomimetic floating robots0
Do You Think It's Biased? How To Ask For The Perception Of Media Bias0
Keyphrase Generation Beyond the Boundaries of Title and AbstractCode0
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text TransformerCode0
Native Chinese Reader: A Dataset Towards Native-Level Chinese Machine Reading Comprehension0
Framework para Caracterizar Fake News en Terminos de Emociones0
Automated Evidence Collection for Fake News DetectionCode0
Survey of Generative Methods for Social Media Analysis0
Topic Detection and Tracking with Time-Aware Document Embeddings0
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates0
MedGraph: An experimental semantic information retrieval method using knowledge graph embedding for the biomedical citations indexed in PubMed0
Show, Write, and Retrieve: Entity-aware Article Generation and RetrievalCode0
An Empirical Study on Relation Extraction in the Biomedical Domain0
LSH methods for data deduplication in a Wikipedia artificial dataset0
Change Summarization of Diachronic Scholarly Paper Collections by Semantic Evolution Analysis0
A Survey on Deep learning based Document Image Enhancement0
Application of Artificial Intelligence and Machine Learning in Libraries: A Systematic Review0
Unsupervised Law Article Mining based on Deep Pre-Trained Language Representation Models with Application to the Italian Civil Code0
A Method to Disambiguate a Word by Using Restricted Boltzmann Machine0
Show:102550
← PrevPage 42 of 81Next →

No leaderboard results yet.