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Order optimization with transparent forecasting

The forecast did the math. Purchasing ignored it — until the reasons behind every suggestion became visible, and trust in their own planning returned.

Spare parts wholesaleFour companiesDACH
Web app with ERP integrationDemand forecasting
Purchasing and warehouse staff aligning order quantities on screen

The forecast did the math, purchasing ignored it. Until the reasons became visible.

The starting point: the forecast did the math, purchasing ignored it

At a wholesaler with four companies, order planning ran on an established piece of software. The problem: the forecasts were regularly off, and no one could trace how the order suggestions came about.

Ordering process between purchasing and warehouse

The result: overstock on some items, shortages on others. Purchasing worked in parallel with their own spreadsheets, because they no longer trusted their own software.

The core problem was not technical. It was a transparency problem: the logic behind the suggestions stayed invisible.

The challenge

What was needed was not another black-box system, but a transparent solution that shows why it suggests what it suggests:

  • Forecasts with no traceability
  • Four companies, no shared rhythm
  • An approval process that was missing entirely

On top of that: integration with two ERP systems, coordinated ordering cycles across four companies, and an approval workflow that involves management without slowing the process down.

About the project: trust through transparency

The customer had known the problem for years. The forecasting software was running, but no one trusted it. Purchasing worked in parallel with their own spreadsheets, management had no clear overview, and stock levels fluctuated more than necessary.

vensas brought no new black box, but the opposite: every order suggestion justifies itself. For the first time, buyers can see how a suggestion is reached, and can comment on or adjust it with their expertise.

The approval workflow was especially effective: management keeps the final say without checking every item individually. The collaboration was shaped by one shared goal — not simply to replace a piece of software, but to restore trust in the company's own planning.

At last we know why the system orders what it orders.
Head of PurchasingHead of PurchasingMid-sized wholesaler · DACH
Dashboard with automated order suggestions
Order suggestions
Forecast detail with a fully traceable order-quantity calculation
Forecast detail
Approval queue for management sign-off of order packages
Approval queue
Uncomfortable recommendation:The customer initially only wanted to extend the old software. We recommended replacing it entirely. Half-measures create double the problems.

Our solution

How we solved it

Transparent calculation instead of a black box

Every order suggestion shows its basis — average consumption, safety stock and replenishment time. Fully traceable.

Coordinated weekly cycles

Four companies order in a coordinated way, with defined cycles instead of ad-hoc decisions.

Management approval before ordering

Nothing is triggered automatically without approval. Management keeps control without having to check every single item.

Live connection to both ERP systems

Current inventory and order data from both ERPs, without manual data entry and without outdated inputs.

The result in numbers

82 %
Fewer over- & understocks
Measurably reduced through transparent forecasting and coordinated cycles.
< 1 day
Approval turnaround
From suggestion to approved order, with full management control.
4
Companies coordinated
For the first time all four companies order on one shared, aligned cycle.
2 ERPs
Connected live
Both ERP systems feed inventory and order data into the forecast in real time.

A similar situation in your company?

A lot of potential is lost not through poor work, but through a lack of end-to-end processes. We find it in the first conversation.

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