Lora AI
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Introduction
Lora AI helps food distributors optimize pricing across their massive SKU catalogs using AI. Our system integrates directly with existing ERPs and workflows to generate daily, SKU-level pricing recommendations that improve margins, reduce waste, and save operators hours of manual work. Starting with food distribution, we’re building the system of intelligence for SKU-intensive industries like packaging, furniture, and chemicals.
Problem
Food distributors manage thousands of SKUs across volatile commodities like meat, produce, and dairy. Pricing is the single largest lever for margin, yet it is still done manually in Excel:
• A VP of Procurement may oversee 1,000+ SKUs but can only manually update ~50/week, since each takes 5–10 minutes.
• The rest default to generic cost-plus markups, leading to lost margin, excess spoilage, and misalignment with market trends.
• Existing ERP and pricing tools are either too simple (basic markups) or too complex/expensive (Fortune 500–oriented software like PROS or Pricefx).
This leaves distributors with a critical, daily business function that is both understaffed and under-optimized.
Opportunity
Food distribution is a $1.2T U.S. market where a 1% margin improvement represents $12B in value. Beyond pricing, distributors are already asking us to automate procurement (when to buy, how much, which vendor), inventory management, freight routing, rebate management, and margin orchestration. Because SKU-intensive industries share the same pain—thousands of items, volatile costs, razor-thin margins—our long-term opportunity extends far beyond food to packaging, furniture, chemicals, and construction, representing a $20B+ market for AI-powered decision systems.