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242 Wythe Ave #4, Brooklyn, NY 11249
1-090-1197-9528
[email protected]

Perfect Order

Perfect Order

Perfect Order

Goods and consumer industry

The consumer goods and retail industries for sales and operation estimates require:

  • Manage portfolios with hundreds of products.
  • Manage wallets with hundreds of clients.
  • Generate demand calculations for each product / customer.
  • Analyze the behavior of each product, each customer and their combinations.
  • Which products are more likely to be successful with each customer?
  • Determine production or supply orders.
“Having good sales estimates has a significant impact on the organization's performance. According to the Institute of Business Forecasting and Planning, improving the sales estimate error by 1% in an organization that invoices $ 50 million represents savings of up to $ 1.52 million. `` Víctor Valenzuela, Data Scientist Axity

Business pains

Estimation methods
Traditional estimation methods based on moving averages, aggregate information, and vendor experience are often not the most accurate.

Combinations
Analyzing each, for example, customer-product combination can be too time consuming.

Inaccuracy in sales estimates
Increasing operating and inventory costs.
Reducing profits from discounts / promotions.
Reducing profits by censored demand.

Amount of data

Using a large amount of data can itself be challenging

Perfect Order
is the solution that allows estimating the quantity of a good, product or service that each client will demand in the future with a predefined horizon.

How does this solution work?

Information inputs

Products, clients, sellers, routes, sales ...<br />

Algorithm execution

Competition between predictive algorithms<br />

Data preparation

Data exploratory and algorithm calibration<br />

Recommendation

Suggested order and alerts<br />

How does this solution work?

Information inputs

Products, clients, sellers, routes, sales ...<br />

Algorithm execution

Competition between predictive algorithms<br />

Data preparation

Data exploratory and algorithm calibration<br />

Recommendation

Suggested order and alerts<br />

Components of the solution:

Sales Classification

Segmentation of clients-products according to their sales performance, volume, frequency, trend, seasonality.

  • Atypical and missing data.
  • Trend
  • Seasonality.

Sales Projection

Competition between algorithms for the sales forecast.
Application of business rules to refine the sales recommendation.

Customer Performance

Top clients.
Detection of changes in behavior.

Product Performance

Top products.
Detection of changes in behavior.

Analysis Automation

Automate and streamline the Suggested Order recommendation process.

Analytical Data Repository

Database with sales history and suggestions.

Control boards

  • User control panel.
  • Data quality report.
  • Customer performance report.
  • Product performance report.
  • Behavior change alerts.
  • Rsales recommendation per customer-sku-day.

Components of the solution:

Clasificación de Venta

Segmentation of clients-products according to their sales performance, volume, frequency, trend, seasonality.

  • Atypical and missing data.
  • Trend.
  • Seasonality.

Sales Projection

Competition between algorithms for the sales forecast.

Application of business rules to refine the sales recommendation.

Customer Performance

Top clients.

Detection of changes in behavior.

Product Performance

Top products.

Detection of changes in behavior.

Analysis Automation

Automate and streamline the Suggested Order recommendation process.

Analytical Data Repository

Database with sales history and suggestions.

Control boards

  • User control panel.
  • Data quality report.
  • Customer performance report.
  • Product performance report.
  • Behavior change alerts.
  • Sales recommendation per customer-sku-day.
benefits benefits

Benefits for your company

Benefits for your company

Timely reaction to change needs

Constantly refine sales and operations planning

Low-performance customer / product identification

Decrease of returns and discounts

Empty shelf decrease

Increase in sales

Greater certainty about product demand

Take into account the rules of each business

Timely reaction to change needs

Constantly refine sales and operations planning

Low-performance customer / product identification

Decrease of returns and discounts

Empty shelf decrease

Increase in sales

Mayor certeza sobre la demanda de productos

Take into account the rules of each business

Do you
want to improve the efficiency of planning your orders? Let's talk!