Sales
Import. Analyze. Adjust.
Import your sales, measure the gaps and adjust your forecasts — with data, not gut feel.
« The register gives me the day's number — but not the gap between what I planned to sell and what actually sold »
« What's left in the display case at closing, I can see — but I don't track it over time »
« Some categories do better than others, but it's hard to put a number on it over a month »
« Adjusting tomorrow's quantities is a daily decision — often made without data »
From sales to statistics
- 1
Set up your import source: automatic email, CSV, manual entry or compatible POS
- 2
Check the product matches — AI mapping suggests the associations automatically
- 3
Complete or adjust planned, sold, wasted and remaining per product
- 4
View statistics by period and by category to fine-tune production
A clear view of your sales, with variances, trends and the data you need to adjust production.
What changes
Before
- The register gives the day's total, but not the gap with planned quantities
- Unsold items and waste are noticed in the moment but not tracked over time
- Comparing one day to the next or one week to the next takes manual work
- The categories that sell and the ones that stagnate aren't clearly identified
- Tomorrow's production quantities are decided without consolidated data
With LogiBake
- Planned, sold, wasted and remaining are entered per product, with the corresponding amount
- Sell-through rate is calculated per product, with progress vs. yesterday and vs. the same day last week
- Statistics aggregate revenue, margin, volume, cost and waste by day, week, month or year
- Category breakdown shows the split of revenue and volume
- Import via automatic email, CSV with AI mapping, manual entry or directly from a compatible POS
What you gain
After each day
Planned, sold, wasted, remaining: each product has its numbers for the day, with the corresponding amount.
To read the variances
The sell-through rate and day-over-day / week-over-week trends show you whether quantities were well calibrated.
To understand the categories
Category statistics reveal the revenue and volume split — useful for adjusting your product lines.
To adjust quantities
Daily and weekly trends give you a concrete basis for deciding how much to produce.
The sales data is already there — in the register, in the emails, in the files. Centralizing it and connecting it to production lets you adjust quantities with numbers, not just experience.
Everything is connected
This feature is part of an ecosystem. Every module feeds into the others.