Competitor repricing trend report

Knowing a competitor's rate right now is useful. Knowing how they reprice is strategy. Who drops aggressively then sells out, who leans on static rates, who paces cuts into the evening, who raises. That pattern only shows up over weeks, especially on Fridays and Saturdays.

How it works

The plan extends the existing rate-shop bot, which already logs competitor rates and inventory to SQLite. The new work is a tighter capture cadence weighted toward weekends, a behavioral classification layer that labels how each participant reprices over time, and a trend report emailed on a biweekly cadence plus on demand.

• Reuse the existing scrape-and-log foundation and the Telegram/email notify path.
• Add the classification and analysis layer over the accumulated time series.
• Emit a biweekly market-behavior report, and on demand whenever I ask.

Planned and scoped, not built. Open questions to settle first: which competitors and comp sets, whether the tighter cadence is worth the storage-versus-resolution tradeoff, and which rate source to standardize on.

This turns a snapshot tool into an understanding tool. It is the analysis a revenue manager would do by watching the market for weeks. Encoded, it runs itself and lands a briefing in my inbox. One more standing report the owner reads instead of produces.