What Works Beyond the Pilot

Legacy forecasting assumes prior year's data predicts next year's demand. For new products, there is no prior year. Here's why launch forecasting is a different problem entirely, and how Mercury solves it with similarity search and real-time signals instead of guesswork.

Wholesale, DTC, marketplaces, social commerce, retail media — each one solved a problem and created a new one. The real cost isn't managing more channels. It's the fragmentation of the signals a brand needs to understand its own demand.

Spreadsheets and gut instinct built the old playbook. Overforecast or underforecast, the cost compounds either way. Here's what demand planning actually is, and why the discipline is shifting from a periodic ritual to a continuous, provenance-tracked loop.

Five layers of data structure. Decades of hard-won lessons. Most platforms are stuck on layer one — and wondering why their AI can't reason.

The old stack was designed to produce consistent answers for human consumers. The next stack has to support agents that reason, decide, and act. That shift requires an evolved architecture, clearer responsibilities, and a different definition of success.

Retrieval is powerful, but it isn’t the same as understanding. Just because a system can find the right information doesn’t mean it understands it. It can’t connect the dots or explain its decisions.