Does the system account for seasonal consumption patterns?

Yes — AI identifies seasonal patterns from historical data and incorporates them into recommendations. If you double your order of material X every September, the system knows this and alerts you well in advance.

Can I set preferred suppliers and maximum order values?

Yes — for each item you can define a preferred supplier, a backup supplier, minimum and maximum order quantities, and a safety stock level.

Does it work for companies with custom/one-off production?

Yes — for manufacturing companies, AI works with bills of materials (BOM). Based on planned production, it calculates the required quantity of every raw material and component.

AI Predictive Purchasing: the end of panic ordering

Every company faces the same problem: “We’ve run out” or “Why do we have a 6-month supply of toner cartridges?”

Current state: reactive purchasing

Most companies buy reactively:

Material runs out
Someone notices (or doesn’t, in time)
Urgent order — premium for express delivery
Or: we buy “just in case” → capital unnecessarily tied up in stock

The average company unnecessarily locks up 15–25% of its inventory value in excess stock.

How AI Predictive Purchasing works in Modulario

1. Consumption history analysis

The system analyzes warehouse issue history for the past 12–24 months:

Average monthly consumption per item
Seasonal fluctuations
Trend (is consumption growing or declining?)
Variability (very stable vs. unpredictable consumption)

2. Accounting for future commitments

For manufacturing and project-based companies, the system takes into account:

Open customer orders with delivery dates
Planned projects
Seasonal campaigns (marketing events, trade shows)

3. Optimal quantity calculation

For each item it calculates:

Reorder point (when to order so that a stockout doesn’t occur within the standard lead time)
Optimal order quantity (EOQ — Economic Order Quantity)
Recommended supplier (based on price, delivery reliability, preferences)

4. Weekly purchase report

Every Monday morning you receive an email with recommended purchases:

PURCHASE RECOMMENDATION — 05.05.2026

⚠️ Urgent (below safety stock):
- A4 80g paper — order 20 reams (remaining: 3, consumption: 8/week)

📋 Planned (recommended within 7 days):
- HP 26X toner — order 4 units (remaining: 2, reorder point: 2)
- Cleaning supplies — order per attached list

✅ Adequate stock: 47 items

5. Simple approval and order dispatch

From the purchase report you can with one click:

Approve recommendation → system automatically creates an order and sends it to the supplier
Adjust quantity or supplier
Reject (with a reason, to train the AI)

ROI: typical savings

Category	Saving
Elimination of express delivery surcharges	3–8% of purchase value
Reduction of capital tied up in inventory	15–20% of inventory value
Buyer / warehouse staff time	8–12 hours/month
Elimination of production stoppages	depends on production

AI Predictive Purchasing — order exactly what you need, when you need it