Retail · FMCG · Category Growth

Category decisions that actually drive profit

Retail Engine helps retail and FMCG companies improve profit through assortment, pricing and category decisions.

No commitment. 15 minutes. Real answer.

No preparation needed. Just your current challenges.

Experience

Experience you can trust

Experience from large-scale retail environments where category decisions are measured in millions.

Danone
Colgate-Palmolive
X5 Retail Group
Philip MorrisInternational
Ferrero

X5 Retail Group — top-50 European food retailer, 30,000+ stores.

Our team held operating roles — not advisory positions — inside these organisations.

Who it's for

Who We Work With

We work with companies where category decisions directly impact profit.

Retail chains (food & FMCG)

Category & Commercial Directors

CEOs of mid-size retail businesses

FMCG companies working with retail

The problem

Why It Matters

Data without direction

Most companies have reports. Few turn them into decisions.

Layout without logic

Category placement shapes purchases — but is often based on habit.

Assortment without structure

Too many SKUs hide gaps. Too few lose customers.

Services

What We Actually Do

Store Layout Optimization

  • Define category roles and store zoning to improve traffic and conversion
  • Design customer journeys that increase basket size
  • Allocate space based on data to maximise sales per m²
  • Deliver implementation-ready layouts your team can execute
Result
+15–27% gross margin uplift

Assortment Optimization

  • Optimise SKU portfolio to remove waste and protect revenue
  • Build customer-driven assortment to grow category penetration
  • Analyse price segments to capture margin and demand
  • Identify growth opportunities already visible in your data
Result
+8.4% LFL category growth

Category Management Programme

A practical 1–2 day programme for retail and FMCG teams.

  • Builds a shared commercial language between retailers and suppliers
  • Covers category logic, assortment structure, product positioning and shelf decisions
  • Designed for retail buying and category teams
  • Designed for FMCG commercial and sales teams
  • Available in-person and online
Result
400+ professionals trained · 30+ sessions delivered
Cases

Results in Practice

Traffic recovery

Fresh category redesign

Problem
Low traffic and high losses
Action
Relocation and layout redesign based on customer flow
Result
+8.4% LFL growth, reduction in losses

Facing a similar challenge?

Efficiency unlock

Assortment optimization

Problem
Over-assortment and low category efficiency
Action
SKU reduction and price architecture redesign
Result
+15–27% margin uplift and increased category penetration in basket

Facing a similar challenge?

Margin expansion

Pricing system redesign

Problem
Low category profitability and inconsistent pricing logic
Action
Built a pricing system across assortment categories, price segments, price ladders and competitive positioning
Result
+16 p.p. increase in category profitability

Facing a similar challenge?

Demand & availability fix

Availability & demand system fix

Problem
Low on-shelf availability despite strong reported metrics. Customers unable to complete basic purchases.
Action
Redesigned demand forecasting and availability logic. Changed KPI structure to balance margin and volume. Analysed real availability based on minimum units, not SKU presence. Used online orders and customer feedback to validate gaps.
Result
Availability 76% → 94% in 4 weeks. Online orders completion improved significantly. LFL growth restored — chain outperformed competitor within 6 months.

Facing a similar challenge?

If this looks familiar, you don't have a strategy problem. You have an execution gap.

Voices

What clients say

In Q4 we were behind on gross profit. The standard response would have been to raise prices and cut stock. Instead, we fixed the replenishment logic and pricing architecture. Two weeks later, shelves were full and traffic returned.
Commercial Director, Food Retail Chain, Eastern Europe
Most categories suffered from over-assortment, but it wasn't obvious in the ABC analysis because nearly everything was selling. The team optimised the assortment structure and redesigned the replenishment forecasting logic for both distribution centres and stores. As a result, we gained additional shelf space and reduced inventory levels.
COO, Regional Retail Group, Central Asia
Our category team had access to large amounts of data, but decision-making lacked structure and consistency. After Retail Engine's analysis and working sessions with our teams, we finally understood how retailers actually evaluate our commercial proposition. The new category management structure and clearer commercial logic significantly reduced decision-making errors across the team.
Sales Director, FMCG Company, Eastern Europe

All client projects are delivered under NDA.
Selected cases and testimonials are adapted for confidentiality.

Results

Proven Impact

+1.5×
Store traffic increase
+8.4%
LFL category growth
30+
Successful projects
400+
Professionals trained

Based on 30+ real transformation projects across retail and FMCG.

Process

How We Work

1

Diagnostic

(1–2 weeks)

Identify key growth and efficiency drivers. First concrete opportunities identified within 1–2 weeks.

2

Strategy

(2–4 weeks)

Category structure, pricing and commercial logic.

3

Implementation

Store layout, assortment and execution.

4

Measurable Impact

(within 2–3 months)

Profit, traffic and revenue improvement.

Why us

Why Retail Engine

Built inside retail

Experience from leading retail and FMCG companies.

Not theory — real execution

Solutions that work in real stores.

From data to decisions

We translate analytics into actions.

End-to-end involvement

We support implementation until results are achieved.

Team

The Team

Dmitrii Mzhen

Dmitrii Mzhen

Founder & Commercial Lead
📍 Lisbon, Portugal
LinkedIn

15+ years in retail and FMCG across Danone, Colgate-Palmolive and X5 Group. Led large-scale category and commercial transformations across Europe and Asia.

Viacheslav Vydrenkov

Viacheslav Vydrenkov

Data & Analytics Lead
📍 Bern, Switzerland
LinkedIn

20+ years in FMCG data and analytics across Europe. Specialises in turning complex data into measurable commercial impact.

Supported by a distributed team across Europe, including merchandising & planogram specialists, data analysts, and project managers.
Contact

Let's turn your data into measurable growth

We work with retail and FMCG companies across Europe — helping turn data into measurable business results.

No preparation needed. Just your current challenges.

Lisbon, Portugal · Europe

We work with a limited number of clients at a time.