BIMachine - Analytics and IA Platform
Success Case

Grupo RN Tintas

From 5 to 25 stores without losing control

Hour-by-hour management in 25+ stores

The end of the 'Eye Owner': How BI decentralized retail management

With over 25 stores spread out and a complex logistics operation, Grupo RN Tintas faced the classic challenge of expanding retail: how can the owner be everywhere at once? The answer wasn't more managers, but more data. BIMachine implementation allowed each store manager to become a 'micro-CEO', making decisions based on real numbers instead of assumptions. Management shifted from being based on the board's physical presence to being based on real-time visibility of every transaction, every inventory and every target.

Grupo RN Tintas

Client since 2022

Paint and Supplies Retail

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Founded
History of regional retail expansion
Employees
Large team distributed across 25+ points of sale
Location
South region (HQ)
Partnership
3 years

Departments Involved

CommercialInventoryFinanceLogisticsMarketing

Testimonial

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The full testimonial from Grupo RN Tintas will be available soon.

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"We always had a very strong technology footprint and a culture of being crazy about numbers, that is, making decisions with basis, without working on gut feeling. But over time, with store openings, each day got harder."

"When we made the decision, we also value national companies a lot. First, contact is internal, everything gets much easier. And second, that localization issue. The Brazilian company already knows more or less how the market works."

"The cultural impact was very positive. Initially there was some insecurity. Is this right? We spent a long time validating. But the cultural impact was very positive."

Ba

Bruno and Juliano

Strategic Management and IT
Grupo RN Tintas

The Geographic Scale Challenge

When you have 5 stores, you can visit them every week. When you have 25, you need a system that tells you the truth of each one without you being ther...

Dependency on board physical presence for control

Slow decisions and expansion bottleneck

Lack of real-time inventory view per unit

Stockouts and lost sales

Sales reports arriving late

Reactive, not proactive management

Difficulty measuring ROI of regional campaigns

Marketing budget waste

Inconsistency in target execution per store

Heterogeneous performance across network

"BI changed how our managers work. Today they don't wait for the end of the day to know if they hit the target. They follow the store's heartbeat every hour."

RN Tintas Leadership

General Management, Grupo RN Tintas

The BIMachine Solution

Technology and methodology to turn data into results

Hour-by-Hour Management Panel

Sales dashboards updated nearly in real time, allowing managers and board to track target evolution throughout the day.

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Multi-Store Inventory Optimization

Consolidated and per-unit view of all inventory, facilitating transfers between stores and optimizing product turnover.

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Sales Consultant Performance

Individual performance rankings and indicators per salesperson, fostering meritocracy and identifying training needs.

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Logistics and DC Integration

Monitoring of distribution center outbound and deliveries, ensuring stores receive the right products at the right time.

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The Methodology

Collaborative construction ('we build something together'), intensive coordinator training (teaching to read indicators), iterative evolution with continuous feedback (version 1 → version 2), prioritization of close and accessible support (Brazilian company that understands Brazilian market).

1

2006-2007

Turning point

Tax substitution — perception of data criticality for management

2

2009

Modernization

Modern ERP implementation

3

2014-2018

First BI experience

Imported solutions, but limited support and lack of localization

4

2018-2021

BIMachine Partnership

Focus on localized Brazilian support, collaborative construction. Continuous evolution: version 1 → version 2 (refined dashboards)

5

2021-2024

Mature management

38 stores using platform daily, data-driven culture consolidated at all levels, continuous expansion with control

The Transformation in Numbers

Daily/Hourly

Decision Speed

From monthly to daily and even hourly

38 Stores

Scale with Control

Each store with personalized dashboard

15 min

Update

~40k invoices/month with full visibility

6 years

Active Partnership

Continuous evolution and second version of dashboards

Before

Monthly targets

Discovered problems too late

Retrospective management

Month end, delayed actions

Data in ERP

Hard to consolidate and analyze

Coordinators

No visibility of their own store

Centralized management

Only at board level

Generic actions

For entire network (not personalized)

Financial indicators only

(No operational management)

Limited support

Imported solutions, no partnership

BIMachine

After

Daily targets

+ Hour-by-hour tracking

Preventive management

Same day, same hour (don't wait)

Dashboards

Updated every 15min (desktop + mobile)

Each store

With personalized real-time panel

Analytical autonomy

At all levels (store → board)

Targeted actions

And daily by store/region

Management indicators

Product/sale, mix, margin, returns

Close support

Brazilian, localized, 6+ year partnership

Impacts of the Transformation

Management time focused on strategy and action, not on searching and consolidating data

Data-driven culture consolidated at all levels: store salesperson → coordinator → supervisor → director

Growth from ~20 stores (partnership start 2018) to 38 stores (current) maintaining control, quality and local autonomy

'Product per sale' indicator (SKUs) as thermometer of consultative sales, margin and customer satisfaction

Returns seen as management indicator (training, quality, fit), not just financial

Lessons from this Transformation

01

In Retail, Month is Eternity — Manage by Day and Hour

Monthly target discovered only at closing means 30 days of uncorrected problems. Daily targets and intraday tracking enable preventive, not reactive action. 'It's noon, we're far from target, people already have to think of some action.'

Action same day/hour
02

Cascade Indicators: Revenue is the End, Not the Start

Teaching the team to work on indicators that BUILD revenue (average ticket, product/sale, mix) is more effective than just demanding the final target. 'Revenue is the last. We have the end of the funnel. The composition.'

Component management
03

Green or Red (Not Yellow)

Binary clarity speeds decision. Either within target (green) or outside (red). No gray zone, no excuses, no ambiguity.

Faster decisions
04

Training > Tool Delivery

Creating pretty panels and throwing them to the team doesn't help. Teaching to READ indicators, understand what they cause, how to act on them — that's what transforms culture. 'We taught each coordinator to read that panel.'

Real data-driven culture
05

Each Store is a Micro-Business

Centralized management with local autonomy: each coordinator sees only their store, but with same indicators and governance. Scalability with control, not micromanagement.

38 stores managed
06

Close and Localized Support is a Differentiator

Brazilian company understands Brazilian market, responds fast, builds together ('we build something together'). Imported solutions had technology but lacked partnership.

6+ year partnership
07

Product per Sale (SKUs) is Quality Thermometer

Not quantity of units, but DIVERSITY of products per invoice. Indicates consultative sales, margin, customer satisfaction, negotiating power. 'It was very hard to create, but it's one of the most important.'

Scaled consultative sales
08

Time Worth More than Money

Having reliable information quickly to decide is worth more than saving tool cost. Management time focused on strategy, not on searching for data. 'Time today is perhaps one of the main reasons to have a BI solution running.'

Focus on strategic value
09

Returns Aren't Just Financial, They're Management

Returns indicator reveals: inadequate training, wrong sale, inadequate product, supplier problem. See beyond the financial number.

Management quality
10

Data-Driven Culture is Journey, Not Destination

33 years of tradition + 6 years of BI = culture in continuous evolution. Second version of dashboards shows it never ends — there's always room for improvement. Active partnership, not one-off project.

Continuous evolution

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