Achieving 10x growth with agentic sales prospecting

How to manage AI investments in the agentic era

Learn how enterprises can manage AI investments in the agentic era by measuring useful work per dollar, improving efficiency, and scaling high-value workflows.

Business Arena: Benchmarking LLM Agents in a Realistic Marketplace

arXiv:2608. 08621v1 Announce Type: new Abstract: Running a business is a challenging form of intelligent work.

Empowering product development with an agentic workflow

CEO-Bench: Can Agents Play the Long Game?

arXiv:2606. 18543v1 Announce Type: new Abstract: Language model agents are becoming proficient executors at isolated, short-horizon tasks such as software engineering and customer service.

E-Commerce Bench: Evaluating LLM Agents on Long-Horizon Autonomous Business Operation

E-Commerce Bench is an open‑source benchmark that simulates a year‑long e‑commerce operation, requiring LLM agents to manage multiple online stores, negotiate with suppliers, optimize sales, fulfill orders, handle returns, and manage cash flow. The environment uses real product and supplier data, a calendar of promotions and shocks, and deterministic customer and negotiation models to enable reproducible evaluation. The study evaluates 18 state‑of‑the‑art models across seven metrics, finding no single model dominates, with GPT‑5.6 Sol achieving the highest year‑end assets but lagging in fraud avoidance and operational efficiency.

Generative AI and Sales Productivity: Field Experiments in Online Retail

arXiv:2510. 12049v4 Announce Type: replace-cross Abstract: We quantify the short-term impact of Generative Artificial Intelligence (GenAI) on sales performance through a series of large-scale randomized field experiments involving millions of users and products at a leading cross-border online retail platform.

Driving sales productivity and customer success at OpenAI

Learn how OpenAI boosts sales productivity by automating prep, centralizing knowledge, and scaling top-selling practices.

Anthropic’s best AI model struggles to attract users as cheaper tools thrive

Anthropic’s top AI model is struggling to attract users even as cheaper alternatives thrive. The company’s July revenue is projected at $65 bn, up from $47 bn in May, and it expects Q3 profitability while boasting 6,000 high‑spending customers. In contrast, OpenAI’s revenue has risen 35 % this quarter, spurred by GPT‑5.6, and a Ramp AI index shows Anthropic’s newer models (e.g., Fable) are less popular than older ones like Opus 4.8.

Netomi’s lessons for scaling agentic systems into the enterprise

How Netomi scales enterprise AI agents using GPT-4. 1 and GPT-5.

How Chime is redefining marketing through AI

Chime CMO Vineet Mehra shares how AI is reshaping marketing into an agent-driven model and why leaders who prioritize AI literacy and thoughtful adoption will drive growth.

Lines and Ladders: A Context-Aware Multi-Agent Framework for Large-Scale Retail Price Taxonomy

arXiv:2608. 12674v1 Announce Type: new Abstract: Maintaining price consistency and executing an Every Day Low Price strategy is critical for global retailers.

Can Agentic Trading Systems Pay for Their Own Intelligence?

arXiv:2607. 10286v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used in trading systems, where model reasoning, tool use, and continual decisions incur costs that are expected to produce trading value.