PREDICTIVE ANALYSIS

Sales forecasting with analysis of influencing factors, modeling and optimization of marketing investments

For a qualitative forecast, we study the behavior of competitors and the impact of marketing activities on sales. We recommend how and when to communicate with the audience. We predict the best time for the ad campaigns. We evaluate the effectiveness and give further recommendations.

Positive & negative factors analysis

Data science modeling

BI visualization

We investigate sales and assess the factors affecting them considering seasonality

We estimate the short- and long-term impact of these factors on forecast

We build predictive models using Data Science algorithms

TECHNOLOGIES

BIG DATA PROCESSING USING PYTHON AND MACHINE LEARNING TECHNIQUES

LINEAR AND NONLINEAR MODEL BUILDING USING DATA SCIENCE METHODOLOGIES: DECISION TREES, NEURAL NETWORKS, DATABASES CREATION

SPECIFICATION

WHAT DATA
WE NEED TO WORK

Data from markets software from holding group and from clients
Brand / product sales information + category data where possible (competitor sales

WHAT INFORMATION
DOES THE CLIENT RECEIVE

Automated variable prediction models
Recommendations for cost optimization
Visual reports for fast management decisions

PRICING

Option 1

35$ an hour

Single time predictive modelling / factor analysis
Record in database, or to a file
Power BI / PDF report

Option 2

2000 $

one-time

Automating predictive algorithm in Python
Automated recording of predictive data into your database in line with CRM and BI systems
Power BI automated reporting

Option 3

2500 $

one-time + support 35$ per hour

Includes Option 2
Support for model work, updating factor analysis

PREDICTIVE ANALYSIS

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