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Forecasting solutions

Forecasting platform enabled by Machine learning algorithms

OUR COMPETENCIES IN MACHINE LEARNING

Data science
Data science

Data processing and analysis to find common patterns, dependencies and areas for optimization: preventing out of stock, diving into promotions’ effectiveness, demand drivers’ decomposition etc.

Forecasting
Forecasting

Forecasting platform based on machine learning algorithms: demand forecast, pricing, promotional sales, new products forecast, inventory forecast etc.

Optimization
Optimization

Recommendation models maximize profit, revenue, or costs reduction: promotional investment optimization, inventory optimization in a warehouse or store, “smart” pricing etc.

WHY FORECASTING WITH ML IS BETTER

01
MORE ADVANCED
Modern ML methods can trace down and train themselves on implicit regularities between on a target variable, for example, a demand curve, and various other influencing variables which cannot be identified using traditional methods or by experts.
02
MORE ACCURATE
Traditional forecasting methods normally rely on historical sales, whereas a ML-enabled forecast leverages other pivotal factors impacting the demand: promotional spend, inventory, weather forecast etc.
03
MORE PROFITABLE
Employing ML methods are beneficial to business teams as they help reduce the time, spent on processing and analyzing the data or making a forecast. Eventually it is likely to lead to a significant increase in business efficiency.

TANGIABLE BUSINESS VALUE

Forecast accuracy increase for up to 20%
Forecast accuracy increase for up to 20%
Time spend by planning managers on forecasting goes down by 50%
Time spend by planning managers on forecasting goes down by 50%
Streamlined and simplified forecasting process and planning in general
Streamlined and simplified forecasting process and planning in general

OUR PREDICTIVE SOLUTIONS

Each project is unique, but each time we develop custom M-enabled forecasting model, we help audit and, if necessary, adjust the target business process, in a bid to eliminate hurdles while launching and adopting the new technology.

BUSINESS PROCESS TUNING
BUSINESS PROCESS TUNING

Auditing and adjusting a target business process in keeping a ML tool being developed.

PLATFORM DEVELOPMENT
PLATFORM DEVELOPMENT

Developing, doing integration work and commissioning ML-enabled forecasting platforms.

BUSINESS AS USUAL SUPPORT
BUSINESS AS USUAL SUPPORT

Providing support for ML models after the launch: Technical support and Methodological support for business teams (outsourcing the role of a demand planner or data scientist).

OUR USE-CASES

Data science and Machine learning methods can effectively tackle a number of core business challenges – from demand forecasting to optimizing multi-million budgets spent on price promotions.

DEMAND PLANNING
Baseline sales
New products sales
Total demand
Seasonal sales
History cleansing
Demand drivers’ decomposition
PROMO PLANNING
Promotional sales
Price promotions effectiveness analysis
Promo plan and budget optimization
Non-price promotions effectiveness
Competitors’ promo strategies analysis
Sales forecast driven by co-investments by retailers
SALES FORECASTING
Optimal pricing
Distribution level forecast
Off-shelf sales
Assortment optimization
Portfolio cannibalization analysis
SUPPLY PLANNING
Inventory level forecast
Inventory level optimization
Procurement prices forecast
Probabilistic forecast
In-store out of stock analysis and forecast

MACHINE LEARNING METHODS WE EMPLOY

Depending on a task and available data, out data scientists develop ML models with unique features and algorithms. An exact business objective can be attained using regressions, decision trees, neural networks or with all of those in a tournament.

REGRESSIONS
REGRESSIONS
  • Linear regression
  • Polynomial regression
DECISION TREES AND ENSEMBLE
DECISION TREES AND ENSEMBLE
  • Decision trees
  • K-nearest neighbors
  • Random Forest
  • Gradient Boosting
CLUSTERING
CLUSTERING
  • K-means
  • DBSCAN
NEURAL NETWORKS
NEURAL NETWORKS
  • Perceptron
  • CNN
  • RNN

INTEGRATED FORECASTING PLATFORM

Input data
Data in any format: flat format, DWH, cloud apps etc
ML model
Deployed on a company’s server or virtual machine (VM)
Forecast visualization
Review
Correction
Aprroval
INTEGRATION INTEGRATION
Starting a forecast refresh on demand
Approved forecast snapshot to calculate its accuracy
INTEGRATION INTEGRATION
Starting a forecast refresh on demand
Approved forecast snapshot to calculate its accuracy

OUR CUSTOMERS TRANSFORMING THEIR BUSINESS WITH MACHINE LEARNING

Large multinational companies from different countries leverage our solutions for forecasting and optimization.

Baseline and total sales forecast for Sales team
Baseline and total sales forecast for Sales team
Long-term rolling forecast by months for 12 months
Long-term rolling forecast by months for 12 months
Data science subscription service
Data science subscription service
Operational forecast by days for 12 weeks
Operational forecast by days for 12 weeks
Regular technical support for the ML model
Regular technical support for the ML model
Total demand forecast for Demand planning
Total demand forecast for Demand planning
Sales forecast for e-commerce customers
Sales forecast for e-commerce customers
Sales forecast during price promotions
Sales forecast during price promotions
Custom-made forecasting models in Walmart, Amazon, and Target
Custom-made forecasting models in Walmart, Amazon, and Target
Regular technical support for all ML models
Regular technical support for all ML models