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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 19512000 of 4012 papers

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Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate OnlineCode0
MeSHup: A Corpus for Full Text Biomedical Document Indexing0
Simplifying Multilingual News Clustering Through Projection From a Shared Space0
D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science ResearchCode0
BiTimeBERT: Extending Pre-Trained Language Representations with Bi-Temporal Information0
Science Checker: Extractive-Boolean Question Answering For Scientific Fact CheckingCode0
C3: Continued Pretraining with Contrastive Weak Supervision for Cross Language Ad-Hoc Retrieval0
Islander: A Real-Time News Monitoring and Analysis System0
WikiMulti: a Corpus for Cross-Lingual SummarizationCode0
Taygete at SemEval-2022 Task 4: RoBERTa based models for detecting Patronising and Condescending Language0
Few-shot learning for medical text: A systematic review0
A systematic review of guidelines for the use of race, ethnicity, and ancestry reveals widespread consensus but also points of ongoing disagreement0
Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations0
Mono vs Multilingual BERT for Hate Speech Detection and Text Classification: A Case Study in Marathi0
LitMC-BERT: transformer-based multi-label classification of biomedical literature with an application on COVID-19 literature curationCode0
Multi-label topic classification for COVID-19 literature with Bioformer0
Generating Full Length Wikipedia Biographies: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies0
Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison0
Machine Learning State-of-the-Art with UncertaintiesCode0
Multimodal Machine Learning in Precision Health0
ProFairRec: Provider Fairness-aware News RecommendationCode0
Fake news detection using parallel BERT deep neural networks0
Deflectometry for specular surfaces: an overview0
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News MediaCode0
CrudeOilNews: An Annotated Crude Oil News Corpus for Event ExtractionCode0
Sequence-Based Extractive Summarisation for Scientific Articles0
Matching Writers to Content Writing Tasks0
MHMS: Multimodal Hierarchical Multimedia Summarization0
Forecasting Cryptocurrency Returns from Sentiment Signals: An Analysis of BERT Classifiers and Weak Supervision0
Extended Reality for Mental Health Evaluation -A Scoping Review0
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?0
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization0
Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization0
Generating Scientific Articles with Machine Learning0
Entity-driven Fact-aware Abstractive Summarization of Biomedical LiteratureCode0
Iranian Modal Music (Dastgah) detection using deep neural networks0
LDKP: A Dataset for Identifying Keyphrases from Long Scientific Documents0
Forecasting with Economic News0
Extraction of Visual Information to Predict Crowdfunding Success0
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison0
Predicting the longevity of resources shared in scientific publications0
Affective Feedback Synthesis Towards Multimodal Text and Image DataCode0
Visuo-Haptic Object Perception for Robots: An Overview0
Explainability in reinforcement learning: perspective and position0
Supervised and Unsupervised Categorization of an Imbalanced Italian Crime News Dataset0
HIBRIDS: Attention with Hierarchical Biases for Structure-aware Long Document Summarization0
DIANES: A DEI Audit Toolkit for News Sources0
Understanding COVID-19 News Coverage using Medical NLP0
Automatic Detection of Entity-Manipulated Text using Factual KnowledgeCode0
Fake News Detection Using Majority Voting Technique0
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