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 10011050 of 4012 papers

TitleStatusHype
Batch Clustering for Multilingual News Streaming0
Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge0
Assessment of Transformer-Based Encoder-Decoder Model for Human-Like Summarization0
Contextual LSTM (CLSTM) models for Large scale NLP tasks0
Contextual term equivalent search using domain-driven disambiguation0
Contrasting and Corroborating Citations in Journal Articles0
A News Chain Evaluation Methodology along with a Lattice-based Approach for News Chain Construction0
Contrastive Entity Coreference and Disambiguation for Historical Texts0
A Statistical Field Perspective on Capital Allocation and Accumulation: Individual dynamics0
Contrastive Learning Using Spectral Methods0
BASHI: A Corpus of Wall Street Journal Articles Annotated with Bridging Links0
Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information0
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers0
Controlled Neural Sentence-Level Reframing of News Articles0
Astro-HEP-BERT: A bidirectional language model for studying the meanings of concepts in astrophysics and high energy physics0
BAR-Analytics: A Web-based Platform for Analyzing Information Spreading Barriers in News: Comparative Analysis Across Multiple Barriers and Events0
A Structured Dataset of Disease-Symptom Associations to Improve Diagnostic Accuracy0
Controversy and Sentiment in Online News0
A Generative Approach to Titling and Clustering Wikipedia Sections0
A Study of Fake News Reading and Annotating in Social Media Context0
Conversation Initiation by Diverse News Contents Introduction0
ConVerSum: A Contrastive Learning-based Approach for Data-Scarce Solution of Cross-Lingual Summarization Beyond Direct Equivalents0
A Corpus-Based Study of Edit Categories in Featured and Non-Featured Wikipedia Articles0
A New Persian Text Summarization Approach Based on Natural Language Processing and Graph Similarity0
Bank Networks from Text: Interrelations, Centrality and Determinants0
A new LDA formulation with covariates0
Bank distress in the news: Describing events through deep learning0
BanglaQuAD: A Bengali Open-domain Question Answering Dataset0
A Batched Multi-Armed Bandit Approach to News Headline Testing0
Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey0
Data-Driven Broad-Coverage Grammars for Opinionated Natural Language Generation (ONLG)0
Data Set for Stance and Sentiment Analysis from User Comments on Croatian News0
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods0
DACSA: A large-scale Dataset for Automatic summarization of Catalan and Spanish newspaper Articles0
A contrastive review of paraphrase acquisition techniques0
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts0
Cyber Deception: State of the art, Trends and Open challenges0
DaNewsroom: A Large-scale Danish Summarisation Dataset0
Balancing Transparency and Accuracy: A Comparative Analysis of Rule-Based and Deep Learning Models in Political Bias Classification0
Balancing Engagement and Polarization: Multi-Objective Alignment of News Content Using LLMs0
A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section0
Balanced News Using Constrained Bandit-based Personalization0
BaitWatcher: A lightweight web interface for the detection of incongruent news headlines0
A New Approach to Claim Check-Worthiness Prediction and Claim Verification0
AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature0
A Wikipedia-based Corpus for Contextualized Machine Translation0
An Evaluation of Two Commercial Deep Learning-Based Information Retrieval Systems for COVID-19 Literature0
A Wide-Coverage Context-Free Grammar for Icelandic and an Accompanying Parsing System0
A weighted unified informetrics based on Scopus and WoS0
A Neural-Symbolic Approach Towards Identifying Grammatically Correct Sentences0
Show:102550
← PrevPage 21 of 81Next →

No leaderboard results yet.