AMANYR
Decision-support partner for retail

Data intelligence, delivered as decisions.

Amanyr turns retailers' sales, marketing and customer data into decisions, and rebuilds the process around AI where it matters.

What analytics is meant to be.
The mission

Close the gap between data and business.

Amanyr exists to turn analysis back into decisions, and to put AI where it gets there faster. Analytics became reporting. We built the agency on four commitments:

  • Findings reach the person who makes the decisions.
  • Teams learn to read the numbers, and to act on them.
  • Every recommendation is measured once it is in place.
  • AI goes where it creates value in your business.
Where we learned the trade

Read the use cases

The problem

You have the data. You're missing the decisions.

Every retail leader we talk to describes the same frustrations:

AI

“Everyone tells me AI is the big opportunity. Nobody can tell me where it fits in my business, or where to start.”

Marketing

“Every channel claims the same sale. Nobody can say what the marketing spend actually added.”

Customers

“I want to know how my customers actually behave, across every channel. I have CRM segments and a loyalty programme, and still no overall picture.”

Promo

“Promo depth is a debate. −20% or −30% gets decided by calendar and gut, not by elasticity.”

None of these are data problems. They are decision problems, and that is the gap Amanyr closes.

The services

Four products. One sequence.

Discovery, execution, automation, partnership. Every engagement starts with the audit and trains your team as it runs.

01 · Discovery

The Performance Audit

Three weeks in your data to map where the money is.

Duration3 weeks
  • Opportunity map, sized in €
  • Data-maturity scan
  • 90-day roadmap, ranked by return
  • 100% credited against a sprint
02 · Execution

The Sprints

One opportunity from the audit, executed and measured.

Duration6–10 weeks
  • Measurement, segmentation or pricing
  • Pre-scoped from a fixed menu
  • Baseline agreed in writing
  • Performance-based pricing
03 · Automation

The AI Build

One process your team repeats, rebuilt around AI and run every week.

Duration4–8 weeks
  • Process mapped, AI placed where it pays
  • Agents built on your own exports
  • Team trained to run it and question it
  • Measured against the old way
04 · Partnership

Performance Partner

Recurring analytics for your team, run month after month.

Duration6 months, then rolling
  • Recurring analyses, re-run on every new export
  • A set number of deep analyses each month
  • Quarterly impact review, in €

None of the four quite fits? Scope a tailor-made engagement

One call tells you whether the audit will pay for itself.

Thirty minutes, your last trading pack on the table. If the opportunity isn't there, we say so.