Connect the data
Sales lines, store stock, returns and price history.
ANALYTICS IN YOUR INDUSTRY
Retail & multi-location sales
Understand what sells, where it sells and which stock is tying up working capital.
Compare store performance, product mix and customer baskets across time and locations. A rise in sales may conceal more discounting, while a low-selling product may simply be unavailable at the right store. Connect these signals to separate a demand question from a pricing or allocation question.
Discover the signal
Compare product mix, basket combinations, turnover and local seasonality.
Improve the decision
Prioritise a product, pricing or availability investigation using the evidence behind the signal.
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Questions worth asking
Which stores are losing sales while the same products sit elsewhere?
Capabilities
Find the value hiding in your data.
Sales performance & growth drivers
Compare customer groups, products, channels and periods to understand where growth comes from and which changes need a closer investigation.
Product demand & availability
Explore slow-moving stock, demand variability, missed availability and replenishment patterns alongside sales and customer context.
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.
Continue exploring
Every part of your business has a story to tell.
Discover what really drives product performance.
Go beyond the bestseller list. Understand demand, product relationships and the commercial context behind each result.
Explore in detail →Ask why. Explore what comes next.
Move beyond a static answer. Follow the evidence from a business question to a segment, a trend, a model and a better next question.
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.