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 801850 of 4012 papers

TitleStatusHype
Dreams Are More "Predictable'' Than You ThinkCode0
DRCD: a Chinese Machine Reading Comprehension DatasetCode0
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda ClassificationCode0
DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial NewsCode0
CNTLS: A Benchmark Dataset for Abstractive or Extractive Chinese Timeline SummarizationCode0
DragonVerseQA: Open-Domain Long-Form Context-Aware Question-AnsweringCode0
DVQA: Understanding Data Visualizations via Question AnsweringCode0
Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News ClassificationCode0
Application of Transformers based methods in Electronic Medical Records: A Systematic Literature ReviewCode0
CD2CR: Co-reference Resolution Across Documents and DomainsCode0
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme SummarizationCode0
CEHA: A Dataset of Conflict Events in the Horn of AfricaCode0
LLVMs4Protest: Harnessing the Power of Large Language and Vision Models for Deciphering Protests in the NewsCode0
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studiesCode0
"Don't quote me on that": Finding Mixtures of Sources in News ArticlesCode0
DpgMedia2019: A Dutch News Dataset for Partisanship DetectionCode0
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]Code0
AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical ModelsCode0
Do LLMs Know to Respect Copyright Notice?Code0
Characterizing Knowledge Manipulation in a Russian Wikipedia ForkCode0
Characterizing Linguistic Shifts in Croatian News via Diachronic Word EmbeddingsCode0
LScDC-new large scientific dictionaryCode0
Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram postsCode0
A Japanese Masked Language Model for Academic DomainCode0
Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic RulesCode0
Document Sub-structure in Neural Machine TranslationCode0
Domain-independent Extraction of Scientific Concepts from Research ArticlesCode0
Distinguishing Commercial from Editorial Content in NewsCode0
ChatGPT as a commenter to the news: can LLMs generate human-like opinions?Code0
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection ModelsCode0
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document HierarchyCode0
Disentangling Multiple Conditional Inputs in GANsCode0
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake NewsCode0
Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials ScienceCode0
Disinformation Capabilities of Large Language ModelsCode0
DocMMIR: A Framework for Document Multi-modal Information RetrievalCode0
MedTSS: transforming abstractive summarization of scientific articles with linguistic analysis and concept reinforcementCode0
Check-COVID: Fact-Checking COVID-19 News Claims with Scientific EvidenceCode0
Domain-Specific Word Embeddings with Structure PredictionCode0
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science ArticlesCode0
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context UnderstandingCode0
A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia ArticlesCode0
Automated Evidence Collection for Fake News DetectionCode0
MIPD: Exploring Manipulation and Intention In a Novel Corpus of Polish DisinformationCode0
Arabic Diacritics in the Wild: Exploiting Opportunities for Improved DiacritizationCode0
MIReAD: Simple Method for Learning High-quality Representations from Scientific DocumentsCode0
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence FusionCode0
Scientific Discourse Tagging for Evidence ExtractionCode0
Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language ProcessingCode0
Analyzing Political Bias and Unfairness in News Articles at Different Levels of GranularityCode0
Show:102550
← PrevPage 17 of 81Next →

No leaderboard results yet.