A/B testing experiment is a widely adopted method for evaluating UI/UX design decisions in modern web applications. Yet, traditional A/B testing remains constrained by its dependence on the large-scale and live traffic of human participants, and the long time of waiting for the testing result. Through formative interviews with six experienced industry practitioners, we identified critical bottlenecks in current A/B testing workflows. In response, we present AgentA/B, a novel system that leverages Large Language Model-based autonomous agents (LLM Agents) to automatically simulate user interaction behaviors with real webpages. AgentA/B enables scalable deployment of LLM agents with diverse personas, each capable of navigating the dynamic webpage and interactively executing multi-step interactions like search, clicking, filtering, and purchasing. In a demonstrative controlled experiment, we employ AgentA/B to simulate a between-subject A/B testing with 1,000 LLM agents Amazon.com, and compare agent behaviors with real human shopping behaviors at a scale. Our findings suggest AgentA/B can emulate human-like behavior patterns.

This paper presents a novel approach to optimizing pricing and replenishment strategies in fresh food supermarkets by combining Long Short-Term Memory (LSTM) networks with Particle Swarm Optimization (PSO). The LSTM model, enhanced with an attention mechanism, is used to predict sales volumes, pricing trends, and spoilage rates over a seven-day period. The predictions generated by the LSTM model serve as inputs for the PSO algorithm, which iteratively optimizes pricing and replenishment strategies to maximize profitability while adhering to inventory constraints. The integration of cost-plus pricing allows for dynamic adjustments based on fixed and variable costs, ensuring real-time adaptability to market fluctuations. The framework not only maximizes profits but also reduces food waste, contributing to more sustainable supermarket operations. The attention mechanism enhances the interpretability of the LSTM model by identifying key time points and factors influencing sales, improving decision-making accuracy. This methodology bridges the gap between predictive modeling and optimization, offering a scalable solution for dynamic pricing and inventory management in fresh food retail and other industries dealing with perishable goods.

The rise of large language models (LLMs) has made natural language-driven route planning an emerging research area that encompasses rich user objectives. Current research exhibits two distinct approaches: direct route planning using LLM-as-Agent and graph-based searching strategies. However, LLMs in the former approach struggle to handle extensive map data, while the latter shows limited capability in understanding natural language preferences. Additionally, a more critical challenge arises from the highly heterogeneous and unpredictable spatio-temporal distribution of users across the globe. In this paper, we introduce a novel LLM-Assisted route Planning (LLMAP) system that employs an LLM-as-Parser to comprehend natural language, identify tasks, and extract user preferences and recognize task dependencies, coupled with a Multi-Step Graph construction with iterative Search (MSGS) algorithm as the underlying solver for optimal route finding. Our multi-objective optimization approach adaptively tunes objective weights to maximize points of interest (POI) quality and task completion rate while minimizing route distance, subject to three key constraints: user time limits, POI opening hours, and task dependencies. We conduct extensive experiments using 1,000 routing prompts sampled with varying complexity across 14 countries and 27 cities worldwide. The results demonstrate that our approach achieves superior performance with guarantees across multiple constraints.

DemandLens demonstrates an innovative Prophet based forecasting model for the mattress-in-a-box industry, incorporating COVID-19 metrics and SKU-specific hyperparameter optimization. This industry has seen significant growth of E-commerce players in the recent years, wherein the business model majorly relies on outsourcing Mattress manufacturing and related logistics and supply chain operations, focusing on marketing the product and driving conversions through Direct-to-Consumer sales channels. Now, within the United States, there are a limited number of Mattress contract manufacturers available, and hence, it is important that they manage their raw materials, supply chain, and, inventory intelligently, to be able to cater maximum Mattress brands. Our approach addresses the critical need for accurate Sales Forecasting in an industry that is heavily dependent on third-party Contract Manufacturing. This, in turn, helps the contract manufacturers to be prepared, hence, avoiding bottleneck scenarios, and aiding them to source raw materials at optimal rates. The model demonstrates strong predictive capabilities through SKU-specific Hyperparameter optimization, offering the Contract Manufacturers and Mattress brands a reliable tool to streamline supply chain operations.

Forecasting product demand in retail supply chains presents a complex challenge due to noisy, heterogeneous features and rapidly shifting consumer behavior. While traditional gradient boosting decision trees (GBDT) offer strong predictive performance on structured data, they often lack adaptive mechanisms to identify and emphasize the most relevant features under changing conditions. In this work, we propose AttnBoost, an interpretable learning framework that integrates feature-level attention into the boosting process to enhance both predictive accuracy and explainability. Specifically, the model dynamically adjusts feature importance during each boosting round via a lightweight attention mechanism, allowing it to focus on high-impact variables such as promotions, pricing, and seasonal trends. We evaluate AttnBoost on a large-scale retail sales dataset and demonstrate that it outperforms standard machine learning and deep tabular models, while also providing actionable insights for supply chain managers. An ablation study confirms the utility of the attention module in mitigating overfitting and improving interpretability. Our results suggest that attention-guided boosting represents a promising direction for interpretable and scalable AI in real-world forecasting applications.

This paper introduces the Australian Supermarket Object Set (ASOS), a comprehensive dataset comprising 50 readily available supermarket items with high-quality 3D textured meshes designed for benchmarking in robotics and computer vision applications. Unlike existing datasets that rely on synthetic models or specialized objects with limited accessibility, ASOS provides a cost-effective collection of common household items that can be sourced from a major Australian supermarket chain. The dataset spans 10 distinct categories with diverse shapes, sizes, and weights. 3D meshes are acquired by a structure-from-motion techniques with high-resolution imaging to generate watertight meshes. The dataset's emphasis on accessibility and real-world applicability makes it valuable for benchmarking object detection, pose estimation, and robotics applications.

Red-flag speech Charlie Kirk's'assassin' gave at family dinner Stephen King deletes post and apologizes for his'lies' about Charlie Kirk Fired MSNBC analyst DEFENDS vile Charlie Kirk comments as network bosses address'unacceptable' on-air remarks Grandma of Charlie Kirk's'assassin' breaks silence to reveal why the FBI MUST have the wrong man Denise Richards' ex Aaron Phypers shares photos of their $3.5M mansion that is CLUTTERED with junk I ran the Trump shooting task force. I was shocked by all the security blunders at Charlie Kirk's event... here are the crucial steps they missed Outrage erupts after Amazon sells book about Charlie Kirk's assassination HOURS after the shooting SCOTT JENNINGS: My friend Charlie Kirk is dead because of the Left's hateful speech... and they dare tell us to be silent. Tearful meteorologist's emotional plea to fans as it is revealed she's been laid off Shoppers rushing to Dollar Tree for $1.50 bargain they say looks straight out of Williams Sonoma AMANDA PLATELL: William and Kate have become the Prince and Princess of Boring. This is why they need to stop skulking around and take a leaf out of Harry's book - or risk Charles's wrath'They could be married before Christmas': Chris Hughes' father reveals what the family really think of his son's controversial relationship with JoJo Siwa... and why couple could be about to take huge step Bannon torches Kash Patel for undeserved'glazing' after Kirk killer turned HIMSELF in Outrage erupts after Amazon sells book about Charlie Kirk's assassination HOURS after the shooting Outrage and online conspiracy theories spread after a book about Charlie Kirk's assassination was listed for sale on Amazon. On Wednesday, social media users shared images of a book available on Amazon titled ' The Shooting of Charlie Kirk: A Comprehensive Account of the Utah Valley University Attack, the Aftermath, and America's Response.'

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Revealed: The political activist charged for distracting cops after'saying HE shot Charlie Kirk' FBI under pressure over open airport five miles from Charlie Kirk assassination hit as private jet'vanishes' after shooting Elite sniper breaks down Charlie Kirk assassin's sick plot... and reveals tiny detail everyone's missed: The gun. Elon Musk unleashes explosive rant on Kirk assassination calling the left'the party of murder' Shocking moment left-wing politicians refuse to take part in minute's silence for Charlie Kirk in European Parliament - prompting screaming match with right-wing opponents Silenced by a bullet to the throat - then came the sneers. MAUREEN CALLAHAN's blistering rebuke as America faces greatest political crisis since the 60s Jimmy Kimmel reacts to assassination of Charlie Kirk: 'No finger pointing' Charlie Kirk's'incredibly strong' wife is too heartbroken to tell her children that'daddy isn't coming home' Sweater weather starts here - the cozy, chic pieces from Soft Surroundings you'll actually wear all season Trader Joe's continues USA takeover as it snaps up more land after opening new stores this year My last conversation with Charlie: MARK HALPERIN remembers a dedicated, political genius, who didn't hate anyone. TMZ forced to apologize after staff heard erupting in laughter as Charlie Kirk's death was announced Police tapes capture chilling details of Charlie Kirk gunman's appearance as FBI faces fury over his escape This Oscar-nominated actress, 68, will soon reunite with her ex in Spain for their daughter's wedding, can you guess who? MORE: America's most famous scientist sparks outrage among liberals after MAGA post Social media platform Bluesky has issued a warning to all of its users, saying it will remove posts or ban anyone who celebrates the assassination of Charlie Kirk.

Charlie Kirk assassin's ammunition'engraved with transgender and antifascist' messages My last phone call with Charlie: MARK HALPERIN remembers a dedicated, political genius, who didn't hate anyone. FBI under pressure over open airport five miles from Charlie Kirk assassination hit as private jet'vanishes' after shooting Elite sniper breaks down Charlie Kirk assassin's sick plot... and reveals tiny detail everyone's missed: The gun. Silenced by a bullet to the throat - then came the sneers. MAUREEN CALLAHAN's blistering rebuke as America faces greatest political crisis since the 60s Musk dethroned as richest person by forgotten Wall Street darling's founder as stock soars 42% MSNBC analyst Matthew Dowd fired over'disgusting' on-air comments about Charlie Kirk shortly after conservative star was assassinated Jimmy Kimmel reacts to assassination of Charlie Kirk: 'No finger pointing' Charlie Kirk's widow wrestling with shattering truth kids must hear soon Sweater weather starts here - the cozy, chic pieces from Soft Surroundings you'll actually wear all season Trader Joe's continues USA takeover as it snaps up more land after opening new stores this year Fierce debate erupts over'non-human' technology in space after video captures UFO surviving Hellfire strike TMZ forced to apologize after staff heard erupting in laughter as Charlie Kirk's death was announced Police tapes capture chilling details of Charlie Kirk gunman's appearance as FBI faces fury over his escape This Oscar-nominated actress, 68, will soon reunite with her ex in Spain for their daughter's wedding, can you guess who? READ MORE: 'Cannibal' ladybirds from East Asia are wiping out British species It's been hundreds of years since the French last tried to conquer Britain.