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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 10011050 of 4012 papers

TitleStatusHype
Scientific Discourse Tagging for Evidence ExtractionCode0
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document HierarchyCode0
Do LLMs Know to Respect Copyright Notice?Code0
The Unreasonable Effectiveness of Machine Learning in Moldavian versus Romanian Dialect IdentificationCode0
DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda ClassificationCode0
End-to-End n-ary Relation Extraction for Combination Drug TherapiesCode0
Detection of news written by the ChatGPT through authorship attribution performed by a Bidirectional LSTM modelCode0
Topic-Centric Explanations for News RecommendationCode0
Contrastive Learning enhanced Author-Style Headline GenerationCode0
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation MethodCode0
A Multiple Choices Reading Comprehension Corpus for Vietnamese Language EducationCode0
Dhoroni: Exploring Bengali Climate Change and Environmental Views with a Multi-Perspective News Dataset and Natural Language ProcessingCode0
Controlled Analyses of Social Biases in Wikipedia BiosCode0
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity RecognitionCode0
A Multi-Modal Method for Satire Detection using Textual and Visual CuesCode0
Detecting Toxicity in News Articles: Application to BulgarianCode0
Controlling Text Complexity in Neural Machine TranslationCode0
Did You Enjoy the Last Supper? An Experimental Study on Cross-Domain NER Models for the Art DomainCode0
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic EmbeddingsCode0
A diverse Multilingual News Headlines Dataset from around the WorldCode0
Detecting Reference Errors in Scientific Literature with Large Language ModelsCode0
A Comparison of Named Entity Recognition Tools Applied to Biographical TextsCode0
A Multilingual Similarity Dataset for News Article FrameCode0
Detecting Narrative Elements in Informational TextCode0
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Detecting Contextomized Quotes in News Headlines by Contrastive LearningCode0
Towards Detecting Harmful Agendas in News ArticlesCode0
Content based News Recommendation via Shortest Entity Distance over Knowledge GraphsCode0
Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical EncoderCode0
Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text TransformerCode0
Delving into the Utilisation of ChatGPT in Scientific Publications in AstronomyCode0
Descartes: Generating Short Descriptions of Wikipedia ArticlesCode0
Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language ModelsCode0
Designing and Evaluating Presentation Strategies for Fact-Checked ContentCode0
Detecting Media Bias in News Articles using Gaussian Bias DistributionsCode0
Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2Code0
Deep Dirichlet Multinomial RegressionCode0
Decoding MIE: A Novel Dataset Approach Using Topic Extraction and Affiliation ParsingCode0
Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and ViralityCode0
Deep learning-based synthetic-CT generation in radiotherapy and PET: a reviewCode0
DC3 -- A Diagnostic Case Challenge Collection for Clinical Decision SupportCode0
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot StrategiesCode0
Data Augmentation for Low-Resource Keyphrase GenerationCode0
Data-driven Summarization of Scientific ArticlesCode0
Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysisCode0
Countering Misinformation via Emotional Response GenerationCode0
COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and FramingCode0
A MISMATCHED Benchmark for Scientific Natural Language InferenceCode0
A Survey of Text Classification Under Class Distribution ShiftCode0
CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda DetectionCode0
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