Rates and inventory went out to many OTAs, but checking each site separately was inefficient. Competitors' movements were invisible, booking analysis relied on Excel, and rate revisions came late enough that lost opportunity had become normal.
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We want to see rates and inventory across every OTA at onceChecked site by site, by hand, with gaps
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We want to track competitors' rate movements without missing anyMovements invisible, opportunity lost
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We want to analyse booking data and forecast demandExcel tallying limits both accuracy and speed
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We want to decide and apply rate revisions quicklyRevisions come too late
A crawler walks the OTAs on a schedule, normalising and storing rates, inventory and bookings. Asynchronous processing carries the scale, and the booking analytics dashboard shows demand trends, competitor rates and pickup — supporting fast revision decisions.