Inventory Optimization
Forecasts future demand based on historical data and seasons. Advises when and how much to reorder to optimize inventory.
At a glance
Up to 15 hours/week
time saving
Up to 8x within 4 months
expected ROI
Live in 4 weeks
from intake to production
GDPR-compliant
EU hosting & human-in-the-loop
Time savings and ROI are indicative and depend on your process, data and volume.
Before & after
From manual to automatic
Inventory management is a balance between too much and too little
- Too much inventory ties up capital and leads to write-offs on slow-movers.
- Too little inventory causes out-of-stock, lost sales and unhappy customers.
- Manual forecasting based on intuition leads to structural errors.
Data-driven forecasting with purchase recommendations
- Analyzes historical sales per product, taking into account seasons and trends.
- Forecasts demand for the next 4-12 weeks and recommends optimal order quantities.
- Proactively warns of impending stockouts or slow-moving products that can be discounted.
- All inventory and sales data is processed within the Netherlands in compliance with GDPR requirements.
Workflow
How it works
See how the agent moves through the process step by step — you stay in control of every decision.
Workflow in action
Inventory Optimization · Predictive inventory planning and purchasing
Import sales data
apiStep 1 of the automated process.
Detect seasonal patterns
analysisStep 2 of the automated process.
Forecast demand (4-12 weeks)
dataStep 3 of the automated process.
Generate purchase recommendations
outputStep 4 of the automated process.
Alerts for stockouts/overstock
apiStep 5 of the automated process.
0
Steps completed
5
Total steps
What it delivers
Optimize inventory levels and reduce capital tied up
The agent uses historical data and seasonal patterns to forecast more accurately than manual methods. Buyers get concrete advice on when and how much to order. The result: less capital tied up in inventory, fewer out-of-stock situations.
through better purchasing timing
through proactive warnings
vs ~60% manual
Figures are indicative and depend on your processes and volume.
Integrations
Works with your software
Integreert met ERP-systemen, webshops en WMS voor real-time voorraad en verkoop data.
ERP & Boekhouding
Warehouse & WMS
E-commerce
Analytics
Frequently asked questions
How accurate are the forecasts for our specific products?
Accuracy varies by product category and seasonality. Stable products: ~85%, trendy/fashion: ~70%, new products: ~60% (based on similar products). The agent learns continuously and improves over time.
Can the agent also account for promotions and seasons?
Yes, you can enter planned promotions, Black Friday, holidays etc. and the agent adjusts its forecast. It also automatically recognizes recurring seasonal peaks from historical data (e.g., summer/winter collections).
What if we have multiple sales channels (webshop + stores)?
The agent consolidates sales from all channels and forecasts per channel or combined. If you have central inventory, it optimizes for total demand. With distributed inventory, it can advise per location.
Does the agent account for supplier lead times?
Yes, you specify lead time per supplier or product (e.g., 2 weeks, 6 weeks for imports). The agent then advises ordering in time so inventory arrives before stockout threatens. For long lead times, you get earlier warnings.
Can we ignore or adjust the recommendations?
Absolutely, the agent advises but you decide. You can set minimum/maximum inventory levels per product and budget limits. The agent learns from deviations: if you consistently order more than recommended, it adjusts its model.
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