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Featured Case Studies
Case Study: How Tailored Brands anticipates demand and increases revenue with invent.ai in its tuxedo and formal wear rental business
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Case Study: How a leading shoe retailer unlocked $21.4M in sales with AI-powered inventory optimization
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Case Study: Fashion retailer reduces lost sales by 6% with AI-powered inventory optimization
Read MoreInventory Intelligence: Driving retail performance with AI
Shoppers expect the right product, in the right place, at the right time. Legacy forecasting can’t keep up—but AI can.
With AI-powered inventory decisioning, retailers connect forecasting, planning, pricing and allocation to cut costs, reduce stockouts and drive profitable growth.
In this white paper, you’ll learn how to:
- Expose the hidden costs of outdated inventory tools
- Balance inventory, planning and pricing with AI
- Audit your strategy to uncover blind spots
- Use AI to protect margin and reduce carrying costs
- Identify the must-have features in an inventory solution
Multi-Agentic AI: Turning insights into real-time action
Today’s retail environment moves at lightning speed—shoppers, supply chains and markets never pause. Multi-agentic AI doesn’t just provide recommendations, it acts, coordinating pricing, inventory, forecasting and execution in real-time to keep retailers ahead.
This white paper shows you how to:
- Overcome the limits of traditional AI in complex, interconnected retail
- Harness autonomous agents to make faster decisions
- See tangible results in margins, assortment optimization and forecast accuracy
- Build a scalable, intelligent decisioning system across your organization
Mastering Agentic AI: The retailer's guide for driving efficiency and innovation
After years of digital innovation, today’s retailers are facing a new directive: to move faster, operate more efficiently and deliver hyper-personalized experiences to shoppers.
Agentic AI has emerged as a powerful tool that doesn’t just predict and recommend actions, but makes decisions that drive efficiency, customer satisfaction and revenue growth.
In this white paper, we’ll explore:
- Why traditional AI tools can’t keep up with today’s complex retail challenges
- How Agentic AI elevates decision making and business outcomes
- Practical examples of how leading retailers are leveraging Agentic AI
- A roadmap for integrating Agentic AI into retail operations
Tariffs are here to stay, and retailers are adapting fast.
Invent.ai conducted a national survey to understand how retailers are responding to tariffs—specifically their effect on retail planning and execution.
Discover how sourcing, pricing, forecasting and AI adoption are evolving in response to ongoing tariff pressure. Download the full survey report to see the strategies leading retailers are putting in place.
Revolutionizing Returns: AI-driven strategies for fashion retailers
Returns are surging—and they’re hitting retail margins harder than ever. With rising volumes, shorter product life cycles, and shopper expectations for flexible returns, the old rules no longer apply.
Fashion retailers need a new approach—one that goes beyond prevention and focuses on precision. This white paper explores how AI can transform returns from a costly afterthought into a competitive advantage.
In this white paper, you’ll learn:
- Why traditional returns processes are failing in multichannel environments
- How AI helps forecast returns, reduce markdowns and reallocate goods before the season ends
- Ways leading retailers are optimizing reverse logistics with AI-driven positioning
- Practical examples of intelligent rerouting that drive higher resale revenue and customer satisfaction
