How Nebulas Analytics turns warehouse and orders into operational signals for customers and teams

01

What changes for those managing warehouse and orders

Anyone managing warehouse and orders in a growing SME needs to see immediately where operational risk builds up: stock below threshold, open orders that stretch out, reserved quantities that block real availability for waiting customers. Nebulas Analytics brings these signals together - stock value and units, categories, below-threshold products, movements, reserved quantities, open orders, components and shipments - in the same space as sales, margin and finance dashboards. Those answering customers, those planning purchases and those coordinating shipments work on the same numbers, comparable period over period, without chasing separate spreadsheets or misaligned versions.

02

The reading path in the dashboard

Steps

1. Open the Nebulas Analytics warehouse and orders dashboard for the period you want to analyze.
2. Identify below-threshold products and reserved quantities that reduce real availability for customers.
3. Compare open orders, missing components and shipments with the previous period to see if the situation is worsening.
4. Move, show or hide widgets to bring the most urgent signals for your role to the front.
5. Share the relevant widgets with sales and customer support to align responses.

03

What you need before starting

• Authorized company data on warehouse, orders, movements and shipments already present in Nebulas Analytics.
• Dashboard access with the ability to freely show, hide and move widgets.
• A defined analysis period, to compare the current situation with the previous one.
• Clear roles on who reads stock, who reads open orders and who coordinates shipments.

04

A hypothetical case

Hypothetical example: a distribution company notices, from the Nebulas Analytics warehouse dashboard, that some product categories have dropped below threshold while reserved quantities for open orders grow compared to the previous period. The purchasing team cross-references this signal with missing components and delayed shipments, identifying where a bottleneck is forming. Customer service, looking at the same dashboard, can give affected customers more realistic delivery timelines before a complaint arrives, while sales avoid promising availability that the warehouse cannot immediately guarantee.

05

What to check regularly

• Periodically check below-threshold products and reserved quantities to prevent stock-outs.
• Compare open orders and shipments across different periods to spot recurring slowdowns in the flow.
• Check warehouse movements to verify that reserved quantities match actual orders.
• Export warehouse tables to CSV when a deeper analysis is needed outside the dashboard.

06

How Nebulas Analytics supports this

Nebulas Analytics brings warehouse and orders widgets into the same dashboard - stock value and units, categories, below-threshold products, movements, reserved quantities, open orders, components and shipments - alongside CRM analytics, customer segmentation, lead funnel, projects, messaging and audit trail. This gives those managing customer experience the operational warehouse signals and the customer, project and communication information in the same space, without leaving the tool. Each user customizes their own view by showing or hiding widgets, and the available tables can be exported to CSV when they need to be shared with someone without direct access.

07

Suggested operational setup

Steps

1. Configure the warehouse and orders dashboard with stock, reserves, movements and shipment widgets.
2. Set the periodic comparison to identify trends in stock, open orders and missing components.
3. Connect warehouse signals with CRM analytics, customer segmentation and messaging.
4. Assign the operational team the weekly review of below-threshold products and open orders.
5. Export tables to CSV when the review requires a more detailed comparison.

08

The next step

Bring the Nebulas Analytics warehouse and orders dashboard into the operational team's weekly review, so decisions on reordering, shipment priorities and customer communications arise from the same shared data, updated period over period and connected to sales, margin and project activity.