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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 23012350 of 4012 papers

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News Meets Microblog: Hashtag Annotation via Retriever-GeneratorCode0
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Transductive Learning for Abstractive News Summarization0
Semi-Supervised Multi-Modal Multi-Instance Multi-Label Deep Network with Optimal Transport0
WhatTheWikiFact: Fact-Checking Claims Against Wikipedia0
An Analysis of a BERT Deep Learning Strategy on a Technology Assisted Review Task0
Learning to Reason for Text Generation from Scientific TablesCode1
Unsupervised Extractive Summarization by Human Memory Simulation0
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic EmbeddingsCode0
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DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation0
Tracking entities in technical procedures -- a new dataset and baselines0
On Representation Learning for Scientific News Articles Using Heterogeneous Knowledge Graphs0
Breaking Community Boundary: Comparing Academic and Social Communication Preferences regarding Global Pandemics0
A Graph Convolutional Neural Network based Framework for Estimating Future Citations Count of Research Articles0
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Comprehensive systematic review into combinations of artificial intelligence, human factors, and automation0
Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters0
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The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles0
Exploring Implicit Sentiment Evoked by Fine-grained News Events0
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories0
Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up0
To Block or not to Block: Experiments with Machine Learning for News Comment Moderation0
What Did This Castle Look like before? Exploring Referential Relations in Naturally Occurring Multimodal Texts0
EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+0
Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus.0
Aligning Estonian and Russian news industry keywords with the help of subtitle translations and an environmental thesaurus0
Exploiting Image–Text Synergy for Contextual Image Captioning0
A COVID-19 news coverage mood map of Europe0
Interesting cross-border news discovery using cross-lingual article linking and document similarity0
Globalizing BERT-based Transformer Architectures for Long Document Summarization0
Content-based Models of Quotation0
NewsMTSC: A Dataset for (Multi-)Target-dependent Sentiment Classification in Political News ArticlesCode1
Discourse-Aware Unsupervised Summarization for Long Scientific DocumentsCode1
CD\^2CR: Co-reference resolution across documents and domains0
A New Surprise Measure for Extracting Interesting Relationships between Persons0
Automatic Data Acquisition for Event Coreference ResolutionCode0
Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings0
"TL;DR:" Out-of-Context Adversarial Text Summarization and Hashtag Recommendation0
Mitigating Media Bias through Neutral Article Generation0
The Kaleidoscope of Privacy: Differences across French, German, UK, and US GDPR Media Discourse0
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems0
Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites0
A Systematic Literature Review on Process-Aware Recommender Systems0
Supporting verification of news articles with automated search for semantically similar articles0
A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches0
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