Data Foundation
Bring store, marketplace, advertising, customer, logistics and inventory data into one reliable analytical foundation.
- Metric definitions
- Automated reporting
- Management dashboards
- Customer, product and channel views
We help growing D2C brands bring their data together, understand what is driving performance and build predictive or AI capabilities where they can create measurable value.
Bring revenue, profitability, customers, locations and channels into one reliable management view.
Representative analytical views. The actual solution depends on the business question, available data and decision your team needs to make.
Why InfoBrew AI
D2C data is usually spread across the store, marketplaces, advertising, logistics, customer communication and inventory systems. We connect the relevant pieces around a business question, then use analytics or AI to improve the decision behind it.
Our approach
01 — Understand
Understand what is happening across your customers, products, channels and operations.
02 — Identify
Spot emerging problems, unusual patterns and opportunities before they become obvious.
03 — Investigate
Find out what is driving changes in performance, and why they are happening.
04 — Decide
Determine where to focus, what to prioritise and which actions are worth taking.
05 — Act
Predict what is likely to happen and intervene while there is still time to change the outcome.
06 — Feedback
Measure what worked, what didn't, and continuously improve the next decision.
What we offer
A brand can begin with the data foundation, a specific analytical question or a well-defined AI use case. The scope follows the problem, not a fixed transformation programme.
Bring store, marketplace, advertising, customer, logistics and inventory data into one reliable analytical foundation.
Identify what is driving profitable growth and where value is being lost across the customer journey.
Build focused AI and machine-learning capabilities where the data, use case and expected value justify them.
Ongoing reporting, analysis, investigation and implementation support without building an internal data team.
Where to start
You don’t need to have an analytics or AI use case figured out. You can come to us with a business problem, some data, a decision you want to improve, or simply an idea worth exploring.
Maybe margins are falling, customers aren't coming back, inventory is piling up, or something in the business has changed and you don't know why. We can help you understand what's happening and what you can do about it.
You may already have valuable data across spreadsheets, reports and business systems without knowing what more you could learn from it. We can help uncover the patterns, problems and opportunities hidden within it.
Your team may be making the same decisions repeatedly, such as what to stock, which customers to target, where to intervene or what to prioritise. We can explore how data and analytics can make those decisions better.
If you have an idea for using analytics, data science or AI but aren't sure whether it will work, we can explore it, test the assumptions and build a prototype before you commit to something larger.
Bring us the business question
Tell us what is unclear, what it is costing the business and what decision you need to make.