Product demand & availability
Explore slow-moving stock, demand variability, missed availability and replenishment patterns alongside sales and customer context.
Discover what really drives product performance.
Go beyond the bestseller list. Understand demand, product relationships and the commercial context behind each result.
Connect sales lines, prices, costs, availability and returns to investigate product performance. A fast-selling item can have a different role from a high-margin product or a product that brings others into the basket. Explore those relationships across seasons and customer groups. Demand models and assortment analysis can support the next purchasing or catalogue discussion when the source data and validation are in place.
Capabilities
Find the value hiding in your data.
Basket patterns & cross-selling
Inspect product associations, support, confidence and lift. Find groups purchased by similar customers and missing from a target account.
Seasonality & early signals
Review monthly, weekly and daily demand patterns, recent declines and sales portfolios. Compare like periods before interpreting a change.
Forecasting & model review
Explore demand, collection, churn and customer-value models with model context. Compare forecasts with simple baselines and treat predictions as estimates.
Segmentation & anomalies
Group customers by behavioural signals and inspect unusual records or discounts. Use the result to prioritise investigation, not to assume causation.
Questions worth asking
01
Which products help sell other products?
↗02
Is weak performance caused by demand, pricing or availability?
↗03
Where do returns or discounts change the apparent success story?
↗Continue exploring
Every part of your business has a story to tell.
Turn your data into business knowledge.
Your business already holds valuable answers. Bring its data together and discover what you could measure, understand and improve.
Explore in detail →Understand the work behind the results.
Discover how your teams work, where capacity is stretched and which skills your next projects will need.
Explore in detail →See project risk before it becomes a surprise.
Connect time, cost, delivery and customer context to understand what is really moving a project forward.
Explore in detail →NEOBIQ / NEXT
What is your data trying to tell you?
A hidden opportunity. A recurring cost. A change in customer behaviour. Invest in your data and turn the question that matters into an investigation you can act on.
Discuss your project ↗Email opens in your mail application. No message is sent automatically.NEOBIQ
Before we begin
How do we turn data into business value?+
Start with a decision you want to improve. We map the relevant data, define a measurable indicator, establish a baseline and test an initial analysis. The first useful insight becomes the foundation for the next step.
Can we explore data we do not analyse today?+
Yes. People, project, customer and product data can become new analytical use cases through the appropriate integrations and models. We agree the scope and validate the results with the people who understand the business.