Two-Week Retail Data Diagnostic
Suits: brands that suspect the range, prices or reporting are wrong but cannot prove it from their own reports.
You get: a findings memo, quantified gaps and a prioritised plan.
2 weeksBook a diagnostic
Services
Retail and Fashion Analytics Consulting Services
Six retail analytics consulting services for fashion brands, distributors and e-commerce retailers: assortment planning, retail pricing, Power BI dashboards, Excel planning models, product data quality and reporting processes. Each follows the same method: read the data first, agree the definitions, then build something your team can keep running.
01
Assortment Planning and Merchandise Planning
Range architecture, size and colour curves, open-to-buy and in-season monitoring, so the buy follows real demand rather than last season’s habit.
size curve · XS–3XL
02Retail Pricing Analysis and Price Architecture
Price architecture by category, good-better-best tiers, cross-market price alignment and markdown scenarios tested before the season.
price ladder · entry → top tier
03Power BI Consultant for Retail KPI Dashboards
One Power BI model for sell-through, stock cover, margin and returns that the commercial team actually opens.
dashboard layout · schematic
04Excel Merchandise Financial Planning Models
Open-to-buy, buy plan and margin models in Excel, built for your planners to maintain rather than a consultant.
open-to-buy · units, illustrative
05Product Data Quality and PLM Standardisation
One attribute dictionary across markets: consistent seasons, colours, compositions and categories in the PLM system.
attribute completeness · illustrative
06Retail Reporting Process and Analytics Team Setup
A reporting calendar, KPI owners, agreed definitions and weekly reviews, so numbers are agreed once and reused everywhere.
reporting calendar · weekly / monthly / quarterly
Retail Analytics Consulting Formats: Diagnostic, Project, Ongoing Support
Retail Analytics Project: Assortment, Pricing, Data or Reporting
Suits: teams with one clear problem to fix: the range plan, the price architecture, the PLM data or the KPI reporting.
You get: working models or dashboards, documentation and a team handover.
4–10 weeksDiscuss a project
Ongoing Retail Analytics Support
Suits: growing brands without an in-house analyst that still need a reliable monthly reporting rhythm.
You get: maintained reports, a monthly review and documented decisions.
monthly retainerAsk about support
Who I work withFashion brands· Distributors· E-commerce retailers· Growing brands without an analytics team
Retail Analytics Consulting Services FAQ
A retail consultant helps a retailer or brand make better commercial decisions: what to buy, how to price it, how to manage stock and how to measure the result. As a retail analytics consultant I work from the data: sales, stock, prices and product attributes. The outcome is a plan, a model or a report the team keeps using.
I review your sales, stock and product data for two weeks and check how the key KPIs are defined and reported. You receive a short written memo that names where margin and time are being lost and what I would fix first. It is a good starting point when you are not sure which service you need.
After a short call I send a written scope with the format, duration, deliverables and price. The scope depends mainly on the number of categories, markets and data sources involved. Ongoing support runs month by month.
Yes. I work with the systems you already have and start from standard exports from your ERP, PLM or e-commerce platform. Models and reports are built so your team can maintain them without new software.
Mostly remotely, from Warsaw, with brands across Europe and beyond. Workshops can be held on site when a project needs them, for example to agree KPI definitions with several teams.
Discuss Which Retail Analytics Consulting Service Fits Your Brand
Tell me where the reporting or planning hurts most. I will reply with the service I would start with — or tell you honestly if none of them fits.
Tatsiana
Book a ConsultationReply within one working day · EN / PL / RU