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The future of AI forecasting goes beyond today's capabilities. We're already working on advanced weather data integration, improved yield prediction, and automated supplier matching to further reduce market friction.

Instead of seeing AI as a massive gamble, think of it as a series of small, strategic bets. The retailers crushing it right now aren't making wild leaps—they're testing specific use cases with clear metrics. It's like playing poker when you can see some of the cards.

AI forecasting creates a virtuous cycle. Farmers gain planning confidence, buyers get price clarity, markets stabilize, and supply chains become more efficient. The entire ecosystem benefits.

The window for gaining competitive advantage won't stay open forever. The question isn't if AI will transform retail—it's who will lead that transformation. What's your biggest barrier to implementation? Share below 👇

🚨 We’re hiring! The Zig has been building production-grade AI-first solutions for enterprise and now we're taking those lessons and building something BIG in AI 🤖 — and we’re looking for 2 cracked developers to join our stealth project. 💰 Competitive pay 🌍 Preferably based