BoG develops AI tool to study inflation trends

Bank of Ghana's AI‑powered inflation tracking system can generate near real‑time estimates of consumer price movements, cutting the traditional monitoring window from months to days. For website owners, this development signals a new class of government‑level bots that will crawl economic data portals, news sites, and e‑commerce price pages at unprecedented frequency. The BoG tool will likely query publicly available price listings to feed its models, increasing automated traffic that can skew analytics, inflate server load, and potentially trigger rate‑limiting if not identified. Moreover, the system’s focus on real‑time data means it may scrape price changes as soon as they appear, demanding that site owners differentiate legitimate user visits from high‑frequency bot requests. **Actionable tips:** 1. Update your llms.txt file to include a directive for the BoG’s crawler (if publicly disclosed) or a generic “User‑Agent: BoG‑InflationBot” rule, allowing the bot access to price pages while blocking it from sensitive sections. 2. Deploy bot‑detection middleware that flags requests with sub‑second intervals and repetitive URL patterns typical of inflation‑tracking scrapers, then route them to a lightweight “data‑only” response to preserve bandwidth. 3. Use llmscentral’s monitoring dashboard to set alerts for spikes in AI‑bot traffic originating from Ghanaian IP ranges, enabling you to adjust throttling rules before performance degrades.