Sector

Data & AI skills for retail and consumer goods

Data & AI skills for people whose decisions move margin every single day.

A stocked supermarket aisle

The challenge

Retail has no shortage of data. Every till, every click and every pallet produces more of it, and most retailers have had dashboards for years. What is scarce is the confidence to act on it against someone who disagrees.

That is the specific problem in this sector: a buyer sits across the table from a supplier who has done this for twenty years and has their own numbers. A category manager has to defend a range decision to a commercial director. Being right is not enough, you have to be able to show your working. That is a skill, and it is teachable.

The second thing that makes retail different is the shape of the workforce. A programme has to reach thousands of people at head office, in stores and in distribution centres, many of whom would not describe themselves as data people at all. Aiming the same course at all of them wastes most of the budget.

Use cases

  • Supplier negotiation. Buyers who bring their own analysis to the table instead of reacting to the supplier's slide.
  • Assortment and range decisions. Reading what the numbers actually say about a slow mover before delisting it.
  • Forecasting and waste. Understanding why a forecast is wrong, not just that it was.
  • Pricing and promotions. Judging what a promotion really did once cannibalisation is accounted for.
  • Personalisation and CRM. Working with AI-driven recommendations without treating the output as gospel.
  • Store and DC operations. Turning a daily report into a decision on the floor.

What we deliver

The behaviour that pays for the whole programme in retail is one thing: a buyer who walks into a supplier meeting with their own analysis instead of reacting to the supplier's slide. That is what changed at Jumbo, and it changed because people practised on Jumbo data and real negotiation cases rather than a generic exercise.

It takes knowledge of what the numbers can and cannot prove, skill in the reporting tools your teams already use, practised in the browser on your own categories and metrics, and the habit of checking before deciding rather than after. Aim the same course at head office, stores and DCs and none of them build the habit; aim it at the job and they do.

Then it has to stick. Cohorts run with champions from your own commercial teams and a capstone on a live category or supplier case, so the first application happens inside the programme rather than after it. Growth is measured from a baseline before the start and benchmarked against other organisations.

Proof

Jumbo ran a cohort-based programme for 80 buyers and buying assistants, built entirely on Jumbo data, metrics and negotiation cases, with 69-92% course completion.

Across all our clients, cohorts finish at 79% completion over the last twelve months and more than 10,000 learners, against an industry standard of roughly 12%.

Roles in scope

Buyer, Category Manager, Supply Chain Planner, Demand Planner, Store Manager, E-commerce Manager, Marketing Manager, Commercial Director

Versus the industry

Around six times the industry standard, which sits at roughly 12% completion.

How it runs

Cohort-based, on your own data and tools, with skill growth measured before and after.

Book a discovery call

Our impact in numbers

Course completion

79%

over the last twelve months

Learners

10,000+

have been through our programmes

Average course rating

4.1/5

from 3,327 learner ratings

Who we train in this sector

Sector tells you what the proof looks like. Persona tells you what each group actually learns.

Your sector, your cases

Talk to us about your sector

Book a discovery call