SLM vs LLM: When 2B parameters beat 1T
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The assumption that bigger models are always better isintuitive but wrong.
Retail and Trade
Cloud computing. AI-driven automation. Advanced data analytics. By embracing these innovations, retailers and wholesalers can improve inventory management, personalize customer experiences, streamline operations, and maintain a competitive edge in a rapidly evolving market.
Demand forecasting
Inventory management
Personalized shopping exp
Omnichannel integration
AI-first apps and chatbots
Security & compliance
Retailers Evolving into Data-Driven Innovators
The retail sector is experiencing a digital renaissance. E-commerce, advanced logistics, and data analytics are changing how consumers shop and how retailers manage their operations. However, successfully navigating these shifts demands a strategic approach to technology adoption.
Current state of retail and trade
30%
of clients expect personalized offers and recommendations at every touchpoint
38%
of retailers cite inventory mismanagement as their biggest cost driver
80%
of retail executives predict that AI-driven strategies will be critical for growth
25%
of customers will abandon a shopping platform after one poor experience
What's hot in retail and trade
What is SLM and why size matters
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A clear explanation of SLMs: purpose-built AI models that deliver faster, more accurate results while keeping your data on-premise.
The AI Automation Field Guide: From Pilot to Production in 90 Days
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A pragmatic 90-day roadmap to take AI automation from pilot to secure production.
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