How did yesterday go? Where are the current bottlenecks? What needs immediate attention? Instead of clicking through different areas of the admin in the morning, you ask Pickware AI — and get an overview of the current state of your business in seconds.
The morning check: Where's the fire?
A single question is often enough to start the day:
Wo habe ich heute ein Problem – Bestände, Versand oder Kommissionierung?
Pickware AI checks the most important areas and shows you where action is needed — for example orders that have been waiting for shipment for several days, products with stock of 0 that appear in open orders, or overdue supplier orders.
Querying revenue and order volume
For a quick look at the numbers:
Wie viele Bestellungen hatten wir gestern? Wie hoch war der Umsatz?
You can adjust the time period as you like:
Zeig mir das Bestellaufkommen der letzten 7 Tage im Vergleich zur Vorwoche.
Or filter specifically by certain criteria:
Wie viele Bestellungen über 500 € hatten wir diese Woche?
Getting an overview of shipping status and backlogs
To see how things look in shipping:
Wie viele Bestellungen warten aktuell auf Versand? Wie viele davon liegen schon mehr als 2 Tage?
If you want to keep an eye on picking throughput:
Wie viele Bestellungen wurden gestern kommissioniert und versendet?
Identifying overdue supplier orders
It's not just outgoing shipments that can be delayed — incoming goods can be too:
Gibt es überfällige Lieferantenbestellungen? Welche Kundenbestellungen sind davon betroffen?
This way you can spot early on when a delayed delivery affects your customers, and react proactively.
Keeping an eye on returns
A quick check on the returns situation:
Wie viele Retouren gab es in der letzten Woche? Welche Produktgruppen sind am häufigsten betroffen?
This helps you spot patterns — for example whether certain products are sent back unusually often, which could indicate a quality or description problem.
Tips for reports and analyses
Name specific time periods — "yesterday", "last week", "the last 30 days" gives better results than "recently" or "lately".
Request comparisons — "compared to last week" or "compared to the same period last year" gives you context for the numbers.
Use numbers as a starting point — sums and calculations can be imprecise with AI language models. Use the results as guidance and check critical figures in the admin.
Start broad, then dig deeper — begin with "Where is there a problem today?" and then dig into the areas that Pickware AI highlights.
More use cases
You can find an overview of all Pickware AI articles and use cases in the article What is Pickware AI?