Sky Intelligence
The artificial intelligence that reads your whole store.
The layer that sees the same operation as every module —sales, stock, purchasing, cash— as it happens, and tells you what matters.
Deep narrative analysis
From the number to the why
The month's data told the way an analyst would tell it: what happened, compared to what, and what explains it.
Context, not a spreadsheet: Every figure with what explains it, ready to act on
Human language: Reports written to be read in a minute, not interpreted
Trend detection
What's moving
Items on the rise, product families losing turnover, branches pulling ahead: patterns seen before they become a problem.
The whole operation: Sales, stock and collections for every branch, always in view
Customer behavior: Who comes back, how often, and what they stopped buying
Anomaly alerts
It warns before, not after
Whatever falls outside the norm in any of your business indicators, flagged in time.
Tailored to your business: It learns how your operation works, not a generic average
With the alert where you look: The alert reaches whoever has to solve it
Executive summary
Your week in five lines
A summary of what happened and what to look at, ready when you open the system on Monday.
What matters, first: Ordered by what changed the most, not by the order of the menu
With a link to the detail: Every point leads to the screen where the full figure lives
Agents
Processes that work even when nobody's looking
Intelligence that works all day without anyone having to ask, and speaks up only when there's something to say.
Stock at risk
What's about to run out or expire, flagged in time to restock
Customers who stop buying
Those who used to come often and haven't returned, ready to win back
Payments that don't add up
Upcoming and overdue debt, with the right contact for each stage
Quotes going cold
Quotes about to expire or turned down on price, with a second chance
Delayed deliveries and purchases
What was supposed to arrive or ship and still hasn't
Points and rewards
Customers find out when their points expire or when they have enough for a reward
Unanswered chats
Conversations left unanswered or halfway through, before the customer walks away
New customers
The first purchase gets the right welcome, so there's a second one
Payments coming due
Supplier invoices due this week, in time to pay them without late fees
Assistant
Ask your store
You type the question the way you'd ask someone on the team. The answer comes with your business's real figure and where it came from. If it has no way to measure it, it says so.
- Which items had no sales at all this month at the North branch?
- How much did each branch sell last week compared to the week before?
- Which customers have a balance overdue by more than 30 days?
- What was the margin on the Bazar family in September?
There are 23 items in stock with no sales in September at the North branch. They add up to $ 1.240.000 in idle inventory; half belong to the Bazar family and five are selling at other branches, so it makes sense to transfer them.
Every answer shows which module and which period the data came from.