AI training for retail and e-commerce
Category, campaign and e-commerce teams read reports but can't question what's behind the numbers. Every question goes to the analytics team and decisions wait.
▶ The solution
AI literacy for executives; Python, data analysis, statistical thinking, machine learning and deep learning for technical teams. Hands-on, and tailored to your team's level and your own data.
▶ Use case
Teams learn segmentation, before-and-after campaign comparisons and correct rate calculations hands-on with basket and customer data. A separate session for managers covers where AI helps and where it doesn't.
▶ Data you need
Sales and basket records, the product and category list, and anonymized customer transactions.
The industry's data landscape
In retail and e-commerce, data is spread across point-of-sale systems, the e-commerce platform, loyalty programs and marketplace dashboards. Transaction volumes are high and product ranges wide, so even small improvements in rates add up to a visible difference.
Corporate training gives your team the knowledge to do data and AI work without depending on outsiders. There are two audiences: executives, who need to tell what is possible from what is hype, and technical teams, who will do the work themselves.
The math behind it
Precision = TP / (TP + FP) · Recall = TP / (TP + FN)
- TP: cases the model correctly flags
- FP: cases it flags by mistake
- FN: cases it misses
How I work
- Before
Level and goal.
The participants' current level, and what they should be able to do afterwards, is made clear. Executives and technical teams get separate goals.
- Preparation
Content and examples.
The programme is shaped around the team's level. Examples and exercises are chosen close to the company's real problems.
- Training
Hands-on sessions.
More practice than lecture: participants write code, work with data and interpret results. Questions are answered through the company's own work.
- After
Back to work.
A concrete task or project proposal the team can apply right after. Where the learning will be used is clear from the start.
▶ Questions and answers
AI training for retail and e-commerce — what data do you need?
Sales and basket records, the product and category list, and anonymized customer transactions.
When is this the wrong choice?
The training is just a line in the annual plan. A training nobody will apply afterwards produces nothing but certificates. You actually need a project. If the work needs to get done soon, doing the project may be faster than training the team.
How does this work start?
With a short intro call. I listen to what you need and tell you plainly whether your data is enough for the job and what the first step should be. I reply to every message within 24 hours.
▶ Concepts
Linked to Wikipedia and Wikidata.
▶ Sources
- [1]Wikipedia, Precision and recall, 2026-10. en.wikipedia.org/wiki/Precision_and_recall
▶ Intro call
Let's talk about your situation.
In a 30-minute call I listen to what you need and tell you plainly how I can help.
Book an intro call▶ In other industries