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SALES.solutions

uses the power of data to boost your sales

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PERFORMANCE

#Analytics

+ 30 STRATEGIC, OPERATIONAL AND ANALYTICAL DASHBOARDS SUSCRIPTIONS, ALERTS, WEB OR MOBILE

  1. Sales KPI, Costs, Prices, Gross Margin, Current Stock 

  2. History (YoY, YTD, MoM, MTD, Daily, Different Temporalities) 

  3. Commercial Channels (Zones, Supervisor, Seller, Digital vs Physical) 

  4. Products (Categories, Subcategories, Brands, Attributes)

  5. Compliance with Goals, Projections, Daily Needs. 

  6. New and recurring customers. Frequencies vs Recency. 

  7. Share of Products, Brands, Categories. 

  8. Geo Analytics (Census data by Neighborhoods and projections)

SALES

BUDGET / GOALS

STOCK

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PERFORMANCE

Are we achieving our goals? Will we achieve them if we continue like this?

Where and who we should focus on Subscriptions and Alerts.

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PERFORMANCE 

View the History
The contribution of each Business Unit

Variations
Summarized and disaggregated KPIs

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PERFORMANCE 

TIME from MACRO to MICRO

Compare different time windows

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PERFORMANCE

Value vs Volume Share

Products by Category, Families. Which SKU is trending upwards? downwards? Out of Stock? %Coverage at all points of sale

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PERFORMANCE

Customer Overview
New vs. Returning Customers

Customer History
Geo Analytics

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CUSTOMER PROFILING

#MachineLearning

Get to know your customers better, see what you never saw before

UNIFICACIoN DEL CLIENTE

  • Demographic characteristics

  • Products they consume

  • Purchasing power

  • Frequency of purchase

  • Time since last purchase

  • Payment behavior

  • Pre-sale behaviors

  • Post-sale behaviors

MACHINE LEARNING

  • Value segmentation

  • Segmentación RFM

  • Qualitative Clustering

  • Customer Story

  • Migration between segments

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CUSTOMER PROFILING 

Value Segmentation

Profitability Deciles
Pareto
High vs. Low Value

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CUSTOMER PROFILING 

RFM Segmentation

Variables related to the money left by the customer during his lifetime (M), the number of purchases (F), and the time since his last purchase (R).

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CUSTOMER PROFILING

Qualitative Clustering 360º Vision

Machine learning associated with behavior in the use of services and/or products.

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CUSTOMER PROFILING

Analyze the History of a Customer

Analyze the History of a Customer in a summarized and visual way. Evolution of Sales, Products, Channels, Geographical Areas.

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UPSELL: Recommendation Engine

#MachineLearning

Don't miss the opportunity to empower your salespeople 🎯
Don't waste time ⏳ Don't leave money on the table 💸

Clustering Customers

Cross

& Upselling

Market Basket
Analysis

FREQUENCY VS. RECENCY

PREFERENCE
PRODUCTS

ABANDONMENT
CHURN

personalized offers for each client. Recommendation engine with Artificial Intelligence.

 

The objective is to PREDICT THE PROBABILITY of acceptance of a specific product for a specific client, allowing the generation of personalized campaigns, evaluating the performance of conversions, and continuous optimization.

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UPSELL

Recommendations based on similar products

By product (content)

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UPSELL

Recommendations based on similar users

Per customer (collaborative)

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UPSELL

What is the value of recommendations? Which ones are highly likely?

Which customer segment should I target?
Campaign Generation

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UPSELL

Integrate recommendations with your ERP/CRM.
Increase productivity while maintaining your processes, platforms and sales force.

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SUCCESS STORY

CASA RICA & TOYOTA

Two well-known brands in Paraguay have chosen to embrace this trend and evolve how they offer their products, in partnership with SALES Solutions.

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READY TO BOOST YOUR SALES?

Fill out the form now and a consultant will get in touch.

Solutions that incorporate algorithms that allow business problems to be optimized.

sales.SOLUTIONS

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  • Español

Pitiantuta 189 c/Mcal Lopez
Edificio Contenedores. 4º piso. Bloque A.

Asunción, Paraguay

Convencidos que todas las empresas deben instaurar una Cultura Analítica. Estamos aquí para ayudar

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Pitiantuta 189 c/Mcal Lopez
Edificio Contenedores. 4º piso. Bloque A.

Asunción, Paraguay

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