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 13011350 of 4012 papers

TitleStatusHype
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 20230
Automating the Analysis of Public Saliency and Attitudes towards Biodiversity from Digital Media0
Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts0
Domain Adaptation in MT Using Titles in Wikipedia as a Parallel Corpus: Resources and Evaluation0
Domain Controlled Title Generation with Human Evaluation0
Auto-survey Challenge0
Domain-Specific Japanese ELECTRA Model Using a Small Corpus0
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature0
An End-to-End Framework for Dynamic Crime Profiling of Places0
Analyzing Patterns and Influence of Advertising in Print Newspapers0
Deep Learning Approach for Intelligent Named Entity Recognition of Cyber Security0
A Vietnamese Dataset for Evaluating Machine Reading Comprehension0
A Vietnamese Dataset for Evaluating Machine Reading Comprehension0
A visual search engine for Bangladeshi laws0
Event-centric Query Suggestion for Online News0
Double Topic Shifts in Open Domain Conversations: Natural Language Interface for a Wikipedia-based Robot Application0
Do we Name the Languages we Study? The #BenderRule in LREC and ACL articles0
Do You Think It's Biased? How To Ask For The Perception Of Media Bias0
A weighted unified informetrics based on Scopus and WoS0
A Wide-Coverage Context-Free Grammar for Icelandic and an Accompanying Parsing System0
A Bag of Tricks for Dialogue Summarization0
Drawing Causal Inferences About Performance Effects in NLP0
A Wikipedia-based Corpus for Contextualized Machine Translation0
Autonomous self-evolving research on biomedical data: the DREAM paradigm0
AWS CORD-19 Search: A Neural Search Engine for COVID-19 Literature0
A Comprehensive Survey of Data Mining-based Fraud Detection Research0
Drugs4Covid: Drug-driven Knowledge Exploitation based on Scientific Publications0
DSim, a Danish Parallel Corpus for Text Simplification0
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations0
Dual Attention Model for Citation Recommendation0
Dual Attention Model for Citation Recommendation with Analyses on Explainability of Attention Mechanisms and Qualitative Experiments0
Duluth at SemEval-2021 Task 11: Applying DeBERTa to Contributing Sentence Selection and Dependency Parsing for Entity Extraction0
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles0
Deep Learning Applications for Lung Cancer Diagnosis: A systematic review0
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation0
Dynamic and Static Topic Model for Analyzing Time-Series Document Collections0
Dynamic and Systematic Survey of Deep Learning Approaches for Driving Behavior Analysis0
Deep learning and traditional-based CAD schemes for the pulmonary embolism diagnosis: A survey0
Author Unknown: Evaluating Performance of Author Extraction Libraries on Global Online News Articles0
Dynamic Language Models for Streaming Text0
A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions0
Enhancing Legal Document Retrieval: A Multi-Phase Approach with Large Language Models0
E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases0
Bank distress in the news: Describing events through deep learning0
Early Fusion Strategy for Entity-Relationship Retrieval0
Early Warning Software for Emergency Department Crowding0
Bank Networks from Text: Interrelations, Centrality and Determinants0
Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning0
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact0
Show:102550
← PrevPage 27 of 81Next →

No leaderboard results yet.