How are you currently doing time-series forecasting for your business? apparently this needs to be in title: i will not promote

I'm researching how businesses actually handle forecasting, and I'd like to understand the workflow before building anything. If you work with things like sales, demand, inventory, revenue, staffing, or other time-series data: What are you currently using for forecasting? Are you using an existing SaaS tool, Python libraries/models, spreadsheets, or something you built yourself? How much work does it take to clean the data and get forecasts running? Do you regularly backtest your forecasts against historical data? What's the biggest pain point with your current setup? If there were an API where you could send historical time-series data and get forecasts back, what would you need it to do for you to actually use it? I'm particularly interested in hearing from people who have actually had to deploy forecasting in a business, rather than people who have only experimented with forecasting models. I'm not selling anything right now. I'm trying to figure out whether this is a real problem worth building around.