The current page is one product table. All of this can be built from data already in the system: monthly sales per product and department back to 2015, and transactions by day and hour. Numbers below are illustrative.
The month at a glance across the top: this month, vs last month, vs the same month last year.
12 months of revenue with profit shaded inside it, one glance shows the shape of the year.
June against last June, so seasonal swings never fool you. Department by department.
Biggest risers and fallers this month vs last. Catches trends while they are happening.
Products that have not sold a single unit in 3 months or more. Money sitting on shelves.
Top 10 by profit, not just by sales. The quiet earners get their medals.
Average takings by day of week. Staffing and orders should follow this shape.
Day by hour grid coloured by takings. Shows the morning rush and the evening gold mine.
Which months carry the year. Plan stock and cash flow around your own pattern.
High sellers that earn little sit bottom right. That corner is where repricing starts.
Average spend per customer visit, month by month. Small rises here compound fast.
Departments ranked with movement arrows, who is gaining share and who is slipping.
Mark the sunny weekends and cold snaps on the sales chart, explains the spikes.
A gentle target: how far is this week from your record week, and what drove the record.
Click any product for its own page: monthly sales, price history, margin, best day.
Three sentences a month, written from the numbers. Reads like a manager's note.
Products fading quietly: three consecutive months of decline, before they become dead stock.
Sales and margin rolled up by supplier, who earns their shelf space and who does not.
An Ask box on the Sales page pre-filled with sales questions, one tap to answers.
Yesterday in one card, waiting when the shop opens. The seed of the daily email Patrick asked for.
All numbers illustrative. Every idea is buildable from turnover_parsed (monthly product sales since 2015) and transactions_parsed (takings by day and hour). Ideas 16 and 20 tie into the morning report on Patrick's requirements list.