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ABOUT ME

Buying, assortment and cash for fashion businesses

I led buying and assortment in multi-brand retail: 500+ brands and 30,000+ SKUs. I worked with costing, financial models and management analytics. I apply this experience in two directions: advising and supporting businesses, above all in fashion, and creating digital products, both inside client projects and my own, from an idea to a working version.

500+ brands30,000+ SKUsMulti-brand retailAdvisory and digital products
Petr Fedin

EXPERIENCE

Areas of practice

What exactly I do in each area and what the business gets.

01

Buying and assortment

Buying that returns cash instead of only refilling the warehouse.

What I do
  • Buying budget and limits by brand, category and channel
  • Assortment matrix, size range, depth and breadth
  • Demand forecast recalculated regularly from sales and stock
  • Allocation, replenishment and transfers between locations
  • Markdown rules and delisting of items
  • Stock audit and forecast-versus-actual reconciliation
What the business gets
  • Every order is backed by figures before payment
  • Stock turns faster and the margin on purchases is higher
  • Weak items leave the season in time
02

Product and production

The path from sketch to shipment, with cost, lead times and versions in view.

What I do
  • Order economics and real unit cost
  • Specifications, samples and tech packs with a history of changes
  • One approval route: changes do not get lost in correspondence
  • Order placement, capacity and supplier lead times
  • Quality control and batch acceptance under one set of rules
  • Supplier audit and back-up production sites
What the business gets
  • Cost is known before a model is launched
  • Delays and quality problems show up early
  • Model data is visible together with its sales and stock
03

Markets and finance

Growth that is calculated before it becomes a commitment.

What I do
  • Assessment of the market, competitors and growth prospects
  • Development model: range, price, channel, commercial terms with partners
  • Financial model: profit, cash flow, working capital
  • Funding requirement and scenarios
  • Stress test: base and downside cases
  • Materials for discussions with an investor, a bank or a buyer
What the business gets
  • An answer to “go or no go” with the price of the question
  • A clear view of how much money is needed and when it returns
  • The economics of a deal are calculated before negotiations
04

Analytics and reporting

One set of figures for every decision, from budget to item profitability.

What I do
  • A BI layer from budget to the profitability of a single item
  • One metrics model and a dictionary of indicators for the whole company
  • Management reporting for the owner and the board without manual assembly
  • Product, commercial and warehouse data tied into one model
  • A move from scattered spreadsheets to a system and regular management
  • Hiring, developing and managing an analytics team
What the business gets
  • The report is ready fast and decisions rest on the same figures
  • Analysts work on tasks instead of matching files
  • Initiatives are prioritised by effect and payback
05

Stabilisation

I restore control when decisions come late and cash runs short.

What I do
  • Control of spending and payments: what is paid first
  • Priorities: what to stop, what to fund, what to speed up
  • A clear way decisions are made: who decides what
  • A short “plan → actual → action” cycle
  • Coordination of functions and difficult negotiations with partners
  • A weekly report to the owner while stabilisation lasts
What the business gets
  • Decisions are taken on time, not after the fact
  • Spending and payments are under control
  • A criterion is set for when stabilisation is over
06

Business solutions integration

Not a report for its own sake, but a working tool inside everyday decisions.

What I do
  • Review of processes and systems: ERP, PLM, CRM, production, warehouse, accounting
  • Shared reference data, metrics and access rights
  • Application modules for buying, production, orders and costs
  • Interactive budgets, scenarios, forecasts and variance control
  • Integrations and automatic data reconciliation between functions
  • A pilot on a real process, team training, acceptance
What the business gets
  • One chain from data to management action
  • A clear rollout plan with checkable stages
  • The team works in the tool after the pilot and training

PATH

How the experience took shape

From buying analytics to my own digital products and advisory.

01

Buying and assortment

Led buying and assortment in multi-brand retail across many sites and sales channels. Moved buying to a regular recalculation based on actual sales.

500+ brands30,000+ SKUsMulti-brand retailMultichannelDemand forecast

02

Analytics and reporting

Built a management analytics function from scratch and grew the analytics team.

BI from scratchOne metrics modelOwner reportingAnalytics teamForecasts and budgets

03

Markets and money

Built financial models and calculated the economics of decisions: supplier terms, assortment, preparing businesses for deals. Negotiated with suppliers and secured commercial terms that worked for the company.

Financial modelsDecision economicsCommercial termsSupplier negotiationsBusiness valuation

04

Product and production

Worked with costing, specifications, order placement and supplier lead times in the premium segment.

CostingSpecifications and samplesOrder placementSupplier lead timesPremium segment

05

Optimisation and automation

Put things in order inside the company: reviewed the work by brand, category and product, removed unnecessary steps and automated routine.

Process optimisationAutomationBrands and categoriesProduct groupsPlan → actual

06

Business solutions integration

I work where management analytics meets software: from the data model and roles to working processes, budgets and forecasts.

ERPPLMCRMApplication modulesBudgets and forecasts

07Now

Advisory and business support

I advise and support owners and executives of businesses: from diagnostics to running a programme, in fashion and beyond.

DiagnosticOwner’s advisorProgramme leadershipData and PLMProduct launch

08Now

Digital products

I develop digital products of two kinds: solutions inside projects for clients’ businesses and my own products, from an idea to a working version.

For clients’ businessSynthaChatXRenovaPromomed

Advisory and products reinforce each other: advisory shows what a business needs, and products extend what advisory can deliver.

IN PRACTICE

Examples of work

Situations from practice: what the problem was, what was done and what it led to.

01

Buying and excess stock

Challenge

Buying lagged behind demand and cash was tied up in slow-moving stock.

What was done
  • Set buying limits by brand, category and channel
  • Moved the demand forecast to a regular recalculation from sales and stock
  • Introduced rules for delisting
  • Orders came to be approved with a justification before payment
What changed
  • Fewer weak items each season
  • Faster stock turnover and a higher margin on purchases
  • Every order is backed by figures before payment
02

Reporting for the owner

Challenge

The report was compiled by hand over several days and figures differed between files.

What was done
  • Built one metrics model and a dictionary of indicators
  • Built a BI layer from budget to the profitability of a single item
  • Automated the collection of reporting
  • Reorganised the analysts’ work around tasks instead of matching files
What changed
  • The report is ready fast
  • Decisions rest on the same figures
  • Analysts work on tasks, not on reconciliation
03

Market and money

Challenge

A decision was needed on whether to expand into a new market or category and how much money it would take.

What was done
  • Assessed the market, competitors and growth prospects
  • Built a development model: range, price, channel, commercial terms with partners
  • Built a financial model with base and downside cases
  • Prepared materials for discussions with an investor
What changed
  • The decision was made on the numbers
  • The funding requirement was justified
  • A direction that failed the check was not launched
04

Cost and supplier lead times

Challenge

The cost of a model and its delivery dates were only found out after production had started.

What was done
  • Calculated order economics and unit cost before launch
  • Brought specifications, samples and tech packs into one order with versions
  • Set up control of supplier lead times
  • Introduced batch acceptance under one set of rules
What changed
  • A launch decision rests on the calculated cost
  • Specifications and versions are in one place
  • Delays are visible in advance
05

Optimising internal work

Challenge

Internal work with brands, categories and products had grown heavy: many manual operations and unnecessary steps.

What was done
  • Reviewed processes by brand, category and product group
  • Removed unnecessary operations and approvals
  • Automated repetitive calculations and reports
  • Set one way of working and clear responsibility
What changed
  • Less manual work and fewer unnecessary steps
  • Orders and approvals move faster
  • The team works on decisions, not routine
06

One view of the data

Challenge

Data in different systems disagreed and order approvals were done by hand.

What was done
  • Reviewed processes and systems: ERP, PLM, CRM, production, warehouse, accounting
  • Introduced shared reference data, metrics and access rights
  • Set up integrations with automatic data reconciliation
  • Ran a pilot on a real process and trained the team
What changed
  • Figures in reports agree
  • Orders are approved faster
  • The team works in the new tool
07

Preparing for a deal

Challenge

The business needed a valuation and a view of the deal before negotiations began.

What was done
  • Assessed the readiness of the business for a deal
  • Built one financial model for the whole company
  • Calculated the economics of the deal
  • Prepared materials for an investor, a bank or a buyer
What changed
  • The economics of the deal are calculated in advance
  • The valuation is ready for negotiations
  • There is one financial model for the company
08

Restoring control

Challenge

Decisions came late and cash ran out faster than decisions were made.

What was done
  • Agreed what to stop, what to fund and what to speed up
  • Introduced a weekly report to the owner
  • Put in place a clear way decisions are made: who decides what
  • Launched a “plan → actual → action” cycle
What changed
  • Decisions are taken at meetings, not in chat
  • Spending is under control
  • An exit criterion for stabilisation is set

Request my CV

PRODUCTS

My own digital products

Select a product to read its description and open its page. The products are at different stages, from prototype to MVP and preparation for a pilot.

See the projects →

COLLABORATION

Ways to work together

The format depends on your role: client, investor, partner or employer.

For a client

A good fit if you are an owner or executive deciding on buying, assortment, margin or capital.

  • Diagnostics of buying, stock and sales channels
  • Calculation of options and a financial model of the solution
  • Support through implementation to the result
Discuss a task →

For an investor

A good fit if you are interested in my products and in taking part in their development.

  • A description of each product: the task, the audience, the stage
  • Video and screenshots showing how the product works today
  • Ways to take part: from a stake to co-development
Ways to take part →

For a partner

A good fit if you have a process or a channel where a product can be tested.

  • A pilot on one business process
  • Co-development and integration with your systems
  • Taking the product to market through your channel
Discuss a pilot →

For an employer

A good fit if you are looking for a head of buying, commerce or digital solutions.

  • Chief Commercial Officer and CEO
  • Head of Buying and Analytics
  • Head of Digital Transformation
Roles and CV →

HOW I WORK

Principles of work

Three rules every piece of work is built on, from diagnostics to a product launch.

01

Grounded in data

Conclusions and decisions rest on your data and a calculation model, not on instinct. If the data is not enough, I name the gaps and propose how to close them.

What it looks like

  • Every conclusion is backed by a figure from your data
  • Options are calculated in advance: base and downside cases
  • The buying budget and each order are justified before the supplier is paid
  • When data is lacking, I record what is missing and how to check it
02

Clear stages

For every product and result you see the stage and the next step: from prototype to pilot and launch.

What it looks like

  • Every product has its stage stated: prototype, MVP, pilot
  • Results are stated together with the period and the basis of calculation
  • The boundaries and responsibilities of the work are put in writing
  • Terms of participation and work are discussed individually
03

Accountability for the result

The work ends with a decision that can be checked, not with a report.

What it looks like

  • Stages, decision points and the finish criterion are agreed in advance
  • A short regular meeting: what is done and what is next
  • Calculations, documents and materials are handed over to the client
  • After the report I stay in touch until the decision is carried out

GET IN TOUCH

Let us discuss your task

Briefly describe the task and the result you need. Within one working day I will reply and propose a next step.