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Trust in Data

What our clients and partners say

★ 4.8 / 5.0

“Demand projections helped us reduce dead inventory by 18% during the first quarter. The econometric model was key to adjusting purchases by region.”

— Supply Chain Manager
Farmacias del Centro
★ 4.9 / 5.0

“Segmentation by spending patterns allowed us to redesign our promotion strategy. The analysis of 8 million households was solid and actionable.”

— Marketing Director
Supermercados del Valle
★ 4.7 / 5.0

“Brand preference heat maps showed us differences of up to 40% by age range. We now adjust campaigns by area with real data.”

— VP of Market Research
Bebidas del Norte
Farmacias del Centro Supermercados del Valle Bebidas del Norte Grupo Logístico MX Retail Analytics Co.

What Our Clients Say

Concrete results from teams already using our projections and segmentations.

Diagnosis 2 weeks ago
A Review After the First Month

The demand projection report allowed us to adjust inventory for 12 categories with 89% accuracy in the first week. The preference heat maps revealed a customer segment we had not identified with our own data.

Segmentation 1 month ago
Feedback on Communication and Setup

Integrating the database of 8 million households took less time than expected. The livejanata team guided us in cleaning variables and interpreting the clusters. We can now segment promotions by actual spending profile.

Projection 3 months ago
A Returning Client Experience

We returned for the brand positioning seminar after using the initial diagnosis. The econometric models updated with 2024 data gave us a clear advantage in planning the launch of a new beverage line.

Why data teams choose Livejanata

Evidence-based business diagnosis, not gut feelings.

ARIMA Models

92% weekly accuracy projection

We adjust inventory and promotions using regressions with real exogenous variables: population density, holidays, and seasonality. Not generic estimates.

K-means Clustering

Real segmentation of 8 million households

We identified five purchase profiles that explain 78% of the average ticket variability. Each segment has documented weight, margin, and price sensitivity.

Heat maps

Brand preferences by age and region

We cross-referenced 2.3 million survey responses to show where each brand wins. Differences reach up to 40% between age ranges. Filterable in real time.

What sets us apart: We don't sell fixed reports. Each projection is recalculated with the client's data, using the same demographic and transactional bases they already own. Brand positioning seminars are built on these findings, not on templates.

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