Lojas Anselmi
Fashion instinct is foundation — but retail demands real-time data
Testimonial
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"Anselmi is a knitwear company, an industry in the textile sector that has been around for over 40 years. It's been about 7 years since the company sought to expand its operations to retail with the end consumer as well."
"That's the big challenge today for retail and all companies: to be able to do this management in a more optimized, as automated as possible way. And that's why we're making this partnership with BIMachine."
"Our main pain is to better understand how our consumer audience behaves, which products have the greatest commercial appetite, what is the performance of each unit, what is the performance of each employee."
Management Team
Lojas Anselmi
Lojas Anselmi
From industry to retail: when product expertise isn't enough to understand the customer
Forty years manufacturing knitwear give incomparable expertise on product, quality, production, fashion. The Anselmi family has 'very sharp instinct a...
Product instinct in isolation
Doesn't answer questions about consumer behavior
Impossibility to predict commercial appetite
Hard to know what works in each store/region
Artisanal multi-store management
No clear benchmarks, operation wasn't scalable
Industry tools in retail
Industrial processes don't work for B2C dynamics
"The Anselmi family has a very sharp instinct about fashion, about their product, about their sector, but now we want to bring this technological and information aspect to be more assertive in decision making and also to further improve the company's performance."
Management Team
Management, Lojas Anselmi
The BIMachine Solution
Technology and methodology to turn data into results
Consumer Behavior Analysis
Deep understanding of how the customer behaves: purchase patterns, category preferences, average ticket, frequency, seasonality — all segmented by store, region, profile
Read moreMulti-Dimensional Granular Performance
Detailed view in multiple layers: by unit (which store performs better/worse), by product (commercial appetite in each context), by employee (who is converting more)
Read moreReal-Time Management
Ability to see what's happening now, not just at month-end closing. Identify emerging trends, saturating products, unexploited opportunities — while there's still time to act
Read moreAnalytical View (not just Operational)
It's not just seeing numbers — it's understanding patterns, identifying causes, predicting behaviors. Transform data into actionable insights
Read moreAmplifying Instinct with Facts
Not replacing the Anselmi family's intuition — amplifying it with data. Instinct identifies opportunity, data validates and quantifies. Instinct suggests action, data confirms if it's working
Read moreThe Methodology
Gradual implementation focused on enabling team for self-service analysis
Diagnosis
Partnership Start
Mapping of priority pains: consumer behavior, product commercial appetite, performance by unit/employee, real-time need
Core Implementation
Phase 1
Structuring consumer behavior analysis and multi-dimensional granular performance (unit, product, employee)
Real Time
Phase 2
Training for real-time management and analytical view (not just operational)
Continuous Optimization
Ongoing
Refinement of insights, expansion of analyses, continuous amplification of instinct with facts
The Transformation in Numbers
Real time
Identification
Of successful products
Structured
Analysis
Of purchase patterns
Benchmarks
Performance
Objective across stores
Metrics
Conversion
Per salesperson
Before
Intuition
About consumer behavior
Too late
Discovered commercial appetite
Limited view
Performance by unit
Subjective
Performance by employee
Retrospective
Analyses (month closed)
Instinct
Decisions based on experience
After
Structured
Purchase pattern analysis
Real time
Identification of successful products
Clear benchmarks
Across all stores
Objective metrics
Conversion per salesperson
Real time
Management (immediate action possible)
Instinct + Facts
Data-based decisions
Impacts of the Transformation
Retail management optimized for modern dynamics
Instinct amplified by real-time data
Industrial culture adapted for retail speed
Lessons from this Transformation
INSTINCT + DATA > INSTINCT OR DATA
Experience and intuition are valuable — but amplified by data, they become superpower. It's not replacing, it's amplifying.
INDUSTRY ≠ RETAIL: TOOLS MUST BE DIFFERENT
Processes and mindset that work in B2B manufacturing don't work for B2C retail. Transition requires new management tools.
TRADITIONAL COMPANIES CAN (AND SHOULD) EMBRACE TECHNOLOGY
40 years of tradition isn't a barrier to innovation — it's a solid foundation on which to build a modern technology layer.
RETAIL DEMANDS GRANULARITY
Knowing overall performance isn't enough — you need to understand by unit, by product, by employee, by region, by customer.
REAL TIME IS COMPETITIVE DIFFERENTIATOR IN RETAIL
Fashion and retail change fast. Yesterday's data is history. Management must be based on what's happening now.
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Mapping of current analytical maturity- Identification of concrete opportunities for AI use in your area
- Prioritization of initiatives based on impact and feasibility
- Guidance on structure, tools and necessary integrations
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Other transformations
See all casesMave Acessórios
Import/Industrial Manufacturing