Problem: Manual price management for over 400 apartments
The company manages over 400 different apartments. Every day, managers faced the question: what price should be set for each unit?
- Too low a price — high occupancy but lost profit.
- Too high a price — units remain vacant, and the company loses money.
Manually tracking seasonality, demand on specific days of the week, holidays, and other factors to set the optimal price for 400 units is practically impossible. The company needed an automated solution that could adjust prices to maximize revenue.
Solution: An integrated dynamic pricing system