What actions can we take now to prevent material shortages and excess inventory later?
Your ERP shows stock levels. Your dashboards show shortages. But they do not show which decisions created the imbalance — or what to do next.
Konekti connects purchase orders, inventory movements, supplier behaviour, demand signals, and planning rules into one live process model. So your team can see which orders to cancel, which purchases to approve, which suppliers to challenge, and which material risks to solve first.
What's happening
You do not have an inventory problem. You have a decision loop problem.
Material shortages and excess inventory often come from the same issue: decisions keep moving, but the process history disappears.
Demand changes. Purchase orders stay open. Suppliers deliver more than planned. Replenishment logic keeps firing after the risk has passed. Planners solve today's shortage without seeing which earlier decision created it.
The result is predictable: capital gets locked in stock, teams spend time firefighting, and the same shortages return next month.
ERP shows what is in stock. BI shows what is high or low. Konekti shows how the imbalance was created and what action prevents it from happening again.
What it costs
Excess inventory is not a storage problem. It is tied-up capital, write-off risk, and planning capacity.
Carrying cost
Every €10M of avoidable inventory can represent roughly €2M per year in carrying cost when using a 20% holding-cost assumption.
Operational cost
Planners lose time searching for material. Procurement loses supplier history. Production escalates the same shortages repeatedly.
Recurring stock build
Open purchases keep turning into stock after the original need has disappeared. Konekti makes those decision loops visible before they create the next shortage or excess position.
How Konekti helps
A live model of how material decisions flow through your business. Built from your existing data.
Konekti connects the data your teams already use: purchase orders, inventory movements, supplier deliveries, demand changes, planning parameters, and material consumption.
The result is not another dashboard. It is a decision layer that shows:
| The question you're asking | What Konekti shows you |
|---|---|
| Which purchases should we cancel before they become excess stock? | Open purchase orders linked to cancelled, reduced, or shifted demand |
| Which purchases should require approval before buying? | Orders triggered without a clear demand signal or before the reorder point is justified |
| Which suppliers are creating inventory risk? | Overdelivery, delivery variation, repeated rescheduling, and supplier patterns tied to excess or shortages |
| Which material shortages should planning solve first? | Shortages ranked by customer impact, production risk, and available alternatives |
| What keeps recurring if we do nothing? | The decision loops that repeatedly create shortages, overbuying, or obsolete stock |
The first engagement
From one operational problem to quantified action in two weeks.
Start with one concrete question, for example: "What actions can we take now to prevent material shortages later?"
Konekti connects to your existing data, builds the live process model, and delivers:
- a ranked list of shortage and excess risks
- the financial impact by material, supplier, or planning mechanism
- the root-cause evidence your team can inspect
- the actions planning, procurement, or suppliers should take
- a business case for the next intervention
Proven in the field
Proven in the field with ABB
At ABB, Konekti connected inventory and supply chain data and explored more than 100 possible root causes automatically.
The analysis surfaced the 15 most important drivers, anchored to actual holding costs. In one warehouse, Konekti identified €89K of non-overlapping excess stock above a one-month target across 59 materials. Applied across sites, the same methodology points to a working-capital opportunity in the millions.
Konekti also found a planning feedback loop: setting changes triggered purchase order changes, which shifted inventory forecasts, which triggered more setting changes. More than 1 in every 200 orders was caught in the loop.
That is the difference between reporting symptoms and preventing recurrence.
"Some insights were so unique I would have never found them manually. Konekti automatically explored 100+ possible root causes and surfaced the 15 most important ones, anchored to actual holding costs."
Global Operations Analyst, ABB
31 hours
from data connection to full analysis
€89K identified
excess stock in one warehouse, ~1.2% of local purchasing throughput
Millions at full scope
same methodology scales across all sites — no rebuild required
100+ root causes
explored automatically; 15 prioritized by actual holding cost
Bring one material shortage or excess inventory question.
We connect the data, build the model, quantify the opportunity, and show which decisions need to change before the same issue returns.