AI in Sales news, in a minute a day
The latest AI in Sales developments — each explained in plain language, with why it matters and how to apply it. Fresh briefs from Learnijoy NewsCenter.
Crafting an Effective CRM RFP to Avoid Pitfalls
This guide explains how to write a comprehensive CRM Request for Proposal (RFP) to prevent common buying decision issues. It addresses the diverse needs of sales, IT, marketing, and finance teams to ensure consensus and clear ROI definition.
Airlines Optimize Revenue with Advanced Market Models
Airlines manage complex pricing for thousands of daily passenger journeys, considering numerous variables like demand, season, and competitor activity. Advanced market models are crucial for optimizing these factors to uncover hidden revenue opportunities.
AI Agents Bridge Search and CRM for Customer Re-Engagement.
A new production-deployed framework uses AI-powered Product Research Agents to connect e-commerce search and CRM systems, proactively re-engaging customers with personalized recommendations via WhatsApp based on their exploratory purchase intent. This system significantly improved engagement and generated downstream purchases.
CRM for Insurance: Managing Customer Relationships Effectively
CRM systems help insurance agencies manage customer relationships throughout the policy lifecycle, including follow-up, nurturing, service, and renewals. This enables agents to handle numerous contacts and communications efficiently.
Access Dun & Bradstreet Data Affordably via Apify
Apify offers a method to build an affordable API for accessing Dun & Bradstreet data, with or without code, making it usable for AI applications and workflows without needing an enterprise contract.
SocialRL Enhances Negotiation Skills in Small Language Models.
SocialRL is a new training recipe that directly teaches social reasoning to small language models, enabling them to act as more strategic negotiators rather than passive assistants. It allows 4B models to match or exceed the performance of larger frontier models in various negotiation and social interaction tasks.
Benchmarking Reveals Pitfalls in Offline Top-k Policy Evaluation
This research provides a controlled benchmark and guide for offline evaluation of deterministic top-k allocation policies, revealing critical pitfalls. It highlights that weak overlap, optimizer's curse, and propensity-estimation error significantly degrade off-policy evaluation, especially when the logger's actions poorly align with the target policy.
FunnelCausalNet Optimizes Coupon Campaigns for Conversion and Revenue.
This paper introduces FunnelCausalNet, an uplift estimator designed to jointly optimize conversion and revenue in multi-tier coupon campaigns by modeling the deterministic funnel from conversion to order value. It outperforms existing baselines in maximizing return on investment for coupon allocation.
Shopping Agents Learn from Online User Feedback
LOFA is a framework that enables large language model-based shopping agents to learn directly from real online user interaction logs without human annotation. It combines reinforcement learning with feedback-aware on-policy distillation to capture both behavioral patterns and user-specific preferences, significantly improving recommendation quality and user satisfaction.
Dynamic Governance Boosts Multi-LLM Agent Conversational Outcomes.
This paper introduces the Experience Orchestrator (EO), a control-theoretic governance layer that significantly improves collaborative conversational outcomes in multi-LLM agent systems. In a simulated financial services environment, EO achieved a 32 percentage point lift in high-intent advisor contact rates by using contextual bandits, PID control, and POMDP belief tracking.
Causal Optimization Boosts LinkedIn Feed Marketing by 7.2%
This paper introduces a decision-centric framework for large-scale targeting and recommendation systems that optimizes for incremental impact rather than just predictive scores, using a causal neural network, a Bayesian neural-bandit layer, and a dual-based linear programming layer. An online A/B test on LinkedIn Feed marketing traffic showed a 7.20% lift in long-term value.
AI Prospecting Tools Leverage Live Web Data for Sales Intelligence
AI prospecting tools are moving beyond static contact databases by utilizing live web data to provide more accurate and timely sales intelligence. This approach enhances common prospecting workflows with dynamic information.
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