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 35013550 of 4012 papers

TitleStatusHype
Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checkingCode0
Accurate and scalable social recommendation using mixed-membership stochastic block modelsCode0
Scalable Recommendation of Wikipedia Articles to Editors Using Representation LearningCode0
Where Did the President Visit Last Week? Detecting Celebrity Trips from News ArticlesCode0
Paraphrase Acquisition from Image CaptionsCode0
FrameFinder: Explorative Multi-Perspective Framing Extraction from News HeadlinesCode0
WatClaimCheck: A new Dataset for Claim Entailment and InferenceCode0
Parmesan: mathematical concept extraction for educationCode0
Machine Learning State-of-the-Art with UncertaintiesCode0
A Cross-Domain Transferable Neural Coherence ModelCode0
Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News WebsitesCode0
FreSaDa: A French Satire Data Set for Cross-Domain Satire DetectionCode0
Friendships, Rivalries, and Trysts: Characterizing Relations between Ideas in TextsCode0
COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and FramingCode0
XL-HeadTags: Leveraging Multimodal Retrieval Augmentation for the Multilingual Generation of News Headlines and TagsCode0
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User EngagementCode0
Towards Better Understanding of Artifacts in Variant Calling from High-Coverage SamplesCode0
Summarization Corpora of Wikipedia ArticlesCode0
Towards Building a Knowledge Base of Monetary Transactions from a News CollectionCode0
From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory SearchCode0
Countering Misinformation via Emotional Response GenerationCode0
Pattern-based Acquisition of Scientific Entities from Scholarly Article TitlesCode0
Using the profile of publishers to predict barriers across news articlesCode0
From Nuisance to News Sense: Augmenting the News with Cross-Document Evidence and ContextCode0
From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMsCode0
MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection ModelsCode0
From Text to Context: An Entailment Approach for News Stakeholder ClassificationCode0
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure TextCode0
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word EmbeddingsCode0
A Text-based Approach For Link Prediction on Wikipedia ArticlesCode0
A Test of Time: Predicting the Sustainable Success of Online Collaboration in WikipediaCode0
Summarization of German Court RulingsCode0
Buy Me That Look: An Approach for Recommending Similar Fashion ProductsCode0
FTII-Bench: A Comprehensive Multimodal Benchmark for Flow Text with Image InsertionCode0
Using Titles vs. Full-text as Source for Automated Semantic Document AnnotationCode0
Building English-to-Serbian Machine Translation System for IMDb Movie ReviewsCode0
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) NetworkCode0
Efficient discovery of overlapping communities in massive networksCode0
Fuzzy Deep Hybrid Network for Fake News DetectionCode0
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz ConstraintCode0
Effective Hierarchical Information Threading Using Network Community DetectionCode0
GASP! Generating Abstracts of Scientific Papers from Abstracts of Cited PapersCode0
The Matrix Calculus You Need For Deep LearningCode0
Building a Biomedical Full-Text Part-of-Speech Corpus Semi-AutomaticallyCode0
GateNLP at SemEval-2025 Task 10: Hierarchical Three-Step Prompting for Multilingual Narrative ClassificationCode0
GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article SimilarityCode0
Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringCode0
SciDQA: A Deep Reading Comprehension Dataset over Scientific PapersCode0
EDTC: A Corpus for Discourse-Level Topic Chain ParsingCode0
Mapping the Past: Geographically Linking an Early 20th Century Swedish Encyclopedia with WikidataCode0
Show:102550
← PrevPage 71 of 81Next →

No leaderboard results yet.