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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 33013350 of 4012 papers

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Deep Learning-based approaches for automatic detection of shell nouns and evaluation on WikiText-2Code0
Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate CrimesCode0
Antibody Watch: Text Mining Antibody Specificity from the LiteratureCode0
Topic Modelling of Swedish Newspaper Articles about Coronavirus: a Case Study using Latent Dirichlet Allocation MethodCode0
CEHA: A Dataset of Conflict Events in the Horn of AfricaCode0
NumHG: A Dataset for Number-Focused Headline GenerationCode0
NUT-RC: Noisy User-generated Text-oriented Reading ComprehensionCode0
Automatic Data Retrieval for Cross Lingual SummarizationCode0
Deep Feelings: A Massive Cross-Lingual Study on the Relation between Emotions and ViralityCode0
A Novel Word Pair-based Gaussian Sentence Similarity Algorithm For Bengali Extractive Text SummarizationCode0
STANDER: An Expert-Annotated Dataset for News Stance Detection and Evidence RetrievalCode0
A Novel Wikipedia based Dataset for Monolingual and Cross-Lingual SummarizationCode0
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Statement networks: a power structure narrative as depicted by newspapersCode0
Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic PersonasCode0
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Typed Entity and Relation Annotation on Computer Science PapersCode0
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and SelectCode0
Deep Dirichlet Multinomial RegressionCode0
Abstraction not Memory: BERT and the English Article SystemCode0
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DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep LearningCode0
Automatic Comment Generation via Multi-Pass DeliberationCode0
LegalCore: A Dataset for Legal Documents Event Coreference ResolutionCode0
Response to comment on Mutualism weaken the latitudinal diversity gradient among oceanic islandsCode0
Legal Judgment Prediction via Topological LearningCode0
Explainable Artifacts for Synthetic Western Blot Source AttributionCode0
Explainable artificial intelligence approaches for brain-computer interfaces: a review and design spaceCode0
Legal Syllogism Prompting: Teaching Large Language Models for Legal Judgment PredictionCode0
Catching Attention with Automatic Pull Quote SelectionCode0
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context UnderstandingCode0
What to Fact-Check: Guiding Check-Worthy Information Detection in News Articles through Argumentative Discourse StructureCode0
Deciphering public attention to geoengineering and climate issues using machine learning and dynamic analysisCode0
Lessons from Deep Learning applied to Scholarly Information Extraction: What Works, What Doesn't, and Future DirectionsCode0
Explaining word embeddings with perfect fidelity: Case study in research impact predictionCode0
Entity Extraction from High-Level Corruption Schemes via Large Language ModelsCode0
Deciphering Political Entity Sentiment in News with Large Language Models: Zero-Shot and Few-Shot StrategiesCode0
Top K Relevant Passage Retrieval for Biomedical Question AnsweringCode0
Stochastic Variational InferenceCode0
Online Tensor Methods for Learning Latent Variable ModelsCode0
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Automatic Argumentative-Zoning Using Word2vecCode0
Leveraging Corpus Metadata to Detect Template-based Translation: An Exploratory Case Study of the Egyptian Arabic Wikipedia EditionCode0
Sparseness-constrained Nonnegative Tensor Factorization for Detecting Topics at Different Time ScalesCode0
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