#Statistical modeling and forecasting in SAP IBP

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1. DEMAND ANALYTICS 

Under the six-sigma DMAIC approach, measurement of your current state is a key requirement for diagnostic, design and implementation of the process.  Even for on-going process stability, measurement is critical.  

The Demand Analytics module provides key insights on your planning performance and provides an insightful view of demand volatility, demand visibility and product mix analysis.  It also provides additional insights on comparisons to the budget and annual plan. 

Our Clients have reported improved Demand visibility, forecast accuracy and higher adoption of the S&OP process throughout the organization.

2. SCM ANALYTICS

With Planvida, the Supply Chain Scorecard process can be completed in minutes.  

Every month, you get all the KPIs for your S&OP in a few minutes - ready to go on Day 2 morning.  

Some clients want the SCM analytics implemented first as this gives you end-to-end insights into your entire supply chain.  Our SCM anlaytics cloud gives you key insights into your customer service, inventory metrics, production adherence to plan, lead-time compliance and several control charts for tracking supply chain functional performance to plan. 

3. PLANNING AND FORECASTING CLOUD

Our cloud-based planning and Forecasting engine is the most sophisticated among several offerings on the market.  This engine provides a probabilistic forecast using an AI-driven modeling platform.  Many organizations are suffering from the lack of good demand visibility.  Our planning engine contains a diverse set of models and machine learning algorithms and the AI picks the best model for the demand profile.

Our Demand Forecasting models can run causal models, transfer functions, event-response models and a variety of other models for seasonal variations and complex higher order demand variability.  The probabilistic forecast will help you with predictive planning so you can set accurate inventory targets.  

Pricing starts at $1,795 month and up to five users can access the system.  It can be seamlessly integrated with your ERP or BI system.  

4.  ON-GOING SUPPORT

Our support team is here to ensure things run smoothly for your organization. 

Our Data Science team will review the models and the results of the AI engine so the ML algorithms will work on steroids combined with this intelligent human input.  

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Demand Planning - SAP SCM

At Valtitude,  we help you develop consistent processes to leverage the modeling power of the SAP SCM engine from basic time series models to multiple regression models. 

If your planning process with SAP needs to be re-engineered, we offer Re-design and configuration. Configure and implement a brand new APO planning environment or fix challenges created by the original implementation with better performance usability.  

Our Model Tuning Consulting Service will leverage the features in the existing configuration and optimize the Statistical capabilities.  

Valtitude / Demand Planning LLC specializes in helping businesses improve their planning across their Value Chain. We provide consulting services and solutions implementation in Demand Planning, Integrated Business Planning (IBP) , S&OP and Supply Chain Optimization. Value Chain Planning involves a larger focus on planning across the entire value chain that includes the customers as well as suppliers - a collaboration with your customers could take the form of CPFR - Collaborative Planning Forecasting and Replenishment.

To know More, Visit Us:

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Demand Planning - SAP Supply Chain Management

With a variety of statistical models and demand planning features,  SAP SCM is a powerful forecasting tool. It includes Life cycle planning, Time series profiling, Outlier Detection and Exception Management as well. 

So is your company leveraging the full functionality of APO modeling and exception management? 

Valtitude / Demand Planning LLC specializes in helping businesses improve their planning across their Value Chain. We provide consulting services and solutions implementation in Demand Planning, Integrated Business Planning (IBP) , S&OP and Supply Chain Optimization. Value Chain Planning involves a larger focus on planning across the entire value chain that includes the customers as well as suppliers - a collaboration with your customers could take the form of CPFR - Collaborative Planning Forecasting and Replenishment.

To know More, Visit Us:

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Best SAP IBP Training in Pune - Best Online Career

Master SAP IBP with Expert Training & Certification

Overview             

Boost Your Skills with the SAP IBP Online Course

The development of SAP Integrated Business Planning (IBP), an advanced system, aims to improve and simplify supply chain management by encouraging real-time partnerships, syncing data, and incorporating state-of-the-art analytics. Therefore, one can make faster purchase and production decisions with enough information available for immediate reference. Its major goal is to consolidate sales, operations, supply chain, and inventory planning processes, thereby improving visibility across all parts of it from one end to the other. If you want to prosper in this area where expert knowledge is most important, take special courses in SAP IBP Online Training, which help you acquire essential market skills.

SAP IBP Key Features and Functionalities

SAP IBP Demand Planning: In order to help businesses create more precise demand plans and lower prediction mistakes, this module focuses on demand forecasting using sophisticated statistical models and machine learning algorithms. Ensuring that supply keeps up with market demand, improves consumer satisfaction.

SAP IBP for Supply Planning: The supply planning module adjusts inventory levels, production, and distribution plans across the entire network. It assists organizations in reducing costs, preventing stockouts, and improving service levels to align with their business objectives.

SAP IBP Response and Supply: This feature ensures company continuity and minimizes disruptions by enabling real-time supply chain monitoring and prompt reactions to unforeseen changes in supply or demand. It facilitates immediate decision-making, scenario planning, and what-if assessments.

SAP IBP sales and operations planning (S&OP): This module, a hallmark of SAP IBP, links sales, marketing, and supply chain to enhance overall business performance in terms of financial performance. It does not confine itself to any specific dimension, such as customer satisfaction, as it integrates all financial and tactical plans to ensure that all functional areas are working towards the same goals.

SAP IBP for Demand-Driven Replenishment: encouraging supply chain tactics that are driven by demand, such as Demand-Driven MRP (DDMRP). Based on actual consumer demand, the module assists businesses in achieving higher service levels with less inventory, in contrast to typical demand forecasting techniques.

Why Learn SAP IBP

SAP IBP Training is important for those professionals who want to distinguish their careers as outstanding supply chain management and integrated business planning practitioners. Well:

Advanced Supply Chain Planning Skills: In order to promote cost control and efficiency enhancement, SAP IBP offers the capabilities necessary to handle intricate supply chain activities, including demand forecasting, stock holding changes, supply proposal preparation, and reaction management.

Real-Time Data Integration: By collaborating with SAP S/4HANA, among other programs, IBP ensures timely information access throughout the chain, improving the quick decision-making feedback loop.

Enhanced Collaboration: An integrated business approach to planning challenges is promoted by this SAP IBP training program, which encourages collaboration between several departments, including the finance, marketing, and sales departments.

Scenario Building and Simulations: SAP IBP incorporates scenario planning and what-if analyses, empowering individuals to prepare for a variety of market conditions before taking action.

Potential Earnings Through SAP IBP Training

Completing SAP IBP training can open doors to highly rewarding job opportunities in supply chain and business planning roles. Expected earnings include:

USA:Starting salaries range from $90,000 to $150,000 per year, with growth potential of 20%–40%.

India: Annual salaries range from INR 10 to 20 lakhs, depending on experience.

UK:Professionals can expect earnings between £65,000 to £110,000 annually.

United Arab Emirates (UAE):Salaries range from AED 300,000 to AED 550,000 per year.

Earn Your SAP IBP Certification with the Best Online Career

You will increase your chances of landing a top position in those large, multinational companies by finishing the course work and practicals and earning a certification that is recognized globally for completing SAP IBP Online Training at Best Online Career.

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Value Chain Planning - SAP Supply Chain Management

With a variety of statistical models and demand planning features,  SAP SCM is a powerful forecasting tool. It includes Life cycle planning, Time series profiling, Outlier Detection and Exception Management as well. 

So is your company leveraging the full functionality of APO modeling and exception management? 

At Valtitude,  we help you develop consistent processes to leverage the modeling power of the SAP SCM engine from basic time series models to multiple regression models. 

If your planning process with SAP needs to be re-engineered, we offer Re-design and configuration. Configure and implement a brand new APO planning environment or fix challenges created by the original implementation with better performance usability.  

Our Model Tuning Consulting Service will leverage the features in the existing configuration and optimize the Statistical capabilities.  

To know More, Visit Us:

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Demand Planning for S&OP

A best-practice Demand Planning process helps you reduce inventory costs and increase customer service levels by providing better demand visibility and demand clarity to the Supply Chain.  When properly implemented, the demand plan helps create a lean and customer-centric supply chain.

We focus how to develop a baseline statistical forecast and leverage a collaborative process to add customer and Sales intelligence. The result is a more accurate plan that includes promotional activity, customer intelligence, and other functional inputs that will add value to the Forecast.

Statistical modeling to create accurate forecasts, in-depth discussion on model diagnostics to improve the quality of the forecast models with specific references to popular applications such as SAP IBP, Kinaxis, ForecastPro, etc.  We will also make references to Python libraries which will expand the horizons of your planners to develop more sophisticated models.

To know More, Visit Us:

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SAP Supply Chain Management:

With a variety of statistical models and demand planning features,  SAP SCM is a powerful forecasting tool. It includes Life cycle planning, Time series profiling, Outlier Detection and Exception Management as well. 

So is your company leveraging the full functionality of APO modeling and exception management?

To know More, Visit Us:

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WORKSHOP ON Demand Planning for S&OP :

An accurate demand plan helps you reduce inventory costs and increase customer service levels. When properly implemented, the demand plan helps create a lean and customer-centric supply chain.

In this workshop, you will learn how to develop a baseline statistical forecast and leverage a collaborative process to add customer intelligence. The result is a more accurate plan that includes promotional activity, customer intelligence, and display activity.

This two-day intensive workshop will take you through an overview of the demand planning process, and the organization and structure within a supply chain. Our course comprehensively covers statistical modeling to create accurate forecasts, in-depth discussion on model diagnostics to improve the quality of the forecast models with specific references to popular applications such as SAP IBP, Oracle, Demantra, ForecastPro, etc.

To know More, Visit Us:

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Statistical Models In IBP vs. SAP SCM (Formerly APO)

Demand Planning LLC has done some extensive research on modeling capabilities in the IBP Demand solution launched by SAP. And we are the leading authority on Model Tuning and Optimization in the current SAP SCM tool that is also known as APO — Advanced Planner and Optimizer. We have done re-implementations of SCM for several companies to leverage the use of statistical models offered by SAP.

Companies that are using SAP SCM have more flexibility now that SAP has introduced the Excel interface through HANA. So what are the pros and cons of IBP vs. APO — this is the subject of an upcoming blog entry.

Statistical Models in SCM

The menu of statistical models available in IBP demand is more limited than what is currently available in SAP SCM(also known as APO DP). Some simple but powerful models are missing.

Although APO is clunky and has an archaic user interface, some of the models are quite stable. Besides the variety of dis-aggregation algorithms available for forecasting from TOP-down to Bottom-up is unmatched by any other demand planning system.

Here we will discuss the model trees available in SCM and IBP. Although simple, the statistical models are provided to match the data patterns in the time series. SCM offers both Univariate and Multi-variate models. The latter is called as the Multiple Linear Regression Model. You can use the MLR profiles to do causal models and event models.

SCM also offers a fancy profile called the composite which can be a combination of univariate and MLR models or a combination of multiple Univariate models.

The basic uni-variate tree consists of the following:

Constant — relatively flat or stable demand patterns. You should consider using the simplest models called Moving Average models.

Typically you would use a 3-month or 4-month MA model.

You can also a Weighted Moving Average model.

the other alternative is to use a simple exponential smoothing model with an adaptive alpha. The engine chooses the best alpha.

Trend Models

Linear Regression models with trend but no seasonality. This just fits the equation of a straight line.

Alternatively you could use the 2nd order exponential smoothing or the Holt model.

Trend Seasonal Models

Linear Regression model with seasonal decomposition — simple but useful model and works in most cases. Also, this produces a robust forecast as this uses all of the historical observations, unlike smoothing models.

Holt-Winters models — This alternative is advanced but can produce non-robust models. This is largely due to the fact that the SCM engine takes up a lot of the initial observations for initialization.

Winters models — you can use this when there is no trend. But you should be careful about not overfitting the series. This error can be dangerous

Life Cycle patterns

You can model this with both the phi parameter as well as handcrafted Trend dampening profits. Again SCM gives you the ability to do this with a lot of flexibility.

You can see related Blog entries:

SAP APO Demand Planning: Usability versus Functionality

Is Statistical modeling an afterthought?

How to create models for weekly forecasting in SAP APO — A Primer

Find a LinkedIn group discussion on a similar topic here so you can understand the different comments on this discussion.

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IT - Principal Consultant | SAP IBP | SAP HANA

Detailed Job Description: Experienced in one or more modules of SAP IBP (S&OP, Demand Planning, Demand Sensing, Supply Planning, Inventory Optimization, Control Tower) Ability to lead Business Blueprinting with business users and design holistic IBP solution to meet the business requirements. Well versed with IBP planning area, planning views, master data types/attributes, planning levels, key figure configurations and creating planning operators Well versed with Planning Operators like Heuristics, Copy / Disaggregation Operators, Forecast Profiles Strong knowledge of Planning Master Data in ECC and integration with IBP Experienced in configuring Control Tower Dashboards, Analytics Graph and Alerts Experienced in Data Integration Jobs for upload of Master Data, Key Figures and Time Periods Creating Roles and Authorizations for business users. Should be able to analyze historical data and recommend forecast model for clients In depth knowledge of forecasting models offered by SAP IBP Demand and application of these models Experienced in integration of IBP with APO, ECC and BW or non-SAP systems and experience with integrating master and transaction data needed for IBP planning. Good understanding on Template/Query and WebServices based CPI flow Able to troubleshoot issues in IBP planning areas and related areas like statistical forecasting, supply planning, inventory optimization. Creation of user training materials, Conduct Unit Testing, Key user trainings and drive UAT & Regression testing. Knowledge or previous experience of APO planning would be a plus Experienced in creation of Data Flows and configuring Data stores in CPI-DS Able to troubleshoot CPI-DS Data Flows for Mapping /lookup issues, performance considerations etc. Minimum years of experience : 10+ Certifications Needed: Yes Interview Process (Is face to face required?) No Does this position require Visa independent candidates only? No Reference : IT - Principal Consultant | SAP IBP | SAP HANA jobs from Latest listings added - JobsAggregation http://jobsaggregation.com/jobs/technology/it-principal-consultant-sap-ibp-sap-hana_i8711

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PLANVIDA - A DIFFERENTIATOR

PlanVida, our best-in-class planning tool takes full advantage of all your data to give you better demand visibility

Powerful forecast engine

Handcrafted models and forecasts created by a qualified Data scientist

Models can capture seasonal demand, product hierarchies, product

promotions, slow-moving items, causal variables, outliers and much

more.

Quick and Easy implementation

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PlanVida is a sophisticated cloud platform - advanced planning integrated with big data analytics; and features our reputation for Usability.  

Planvida can leverage all your data in detail - POS, inventory, archived plans, costs and margins to provide the best plans and forecasts   

- Powerful planning engine

- Quick and Easy implementation 

- Insightful Analytics

PLANVIDA OFFERINGS

Outsourced Planning 

With robust Statistical Models, PlanVida offers insightful graphical review and planning Dashboards for S&OP Process. Additionally, we also offer intuitive review and feedback by an experienced data scientist. 

Portfolio Optimization

PlanVida offers Product & Customer Segmentation with ABC Classification. In addition, it allows for SKU Rationalization analysis for a deeper understanding of the portfolio. Revenue & Margin Contribution Analytics  with SKU & Customer Profitability provide imperative insights. 

Analytics and Data Insights

Starting with Forecastability analysis to identify data patterns, PlanVida generates  reports for Forecast Accuracy and Product Mix. It assesses parameters across Inventory optimization, Tracking Signal & Optimal Stocking Targets. It helps gain Customer Service, Manufacturing and Procurement Insights

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An accurate demand plan helps you reduce inventory costs and increase customer service levels. When properly implemented, the demand plan helps create a lean and customer-centric supply chain.

In this workshop, you will learn how to develop a baseline statistical forecast and leverage a collaborative process to add customer intelligence. The result is a more accurate plan that includes promotional activity, customer intelligence, and display activity.

This two-day intensive workshop will take you through an overview of the demand planning process, and the organization and structure within a supply chain. Our course comprehensively covers statistical modeling to create accurate forecasts, in-depth discussion on model diagnostics to improve the quality of the forecast models with specific references to popular applications such as SAP IBP, Oracle, Demantra, ForecastPro, etc.

Improve Your Forecasts With Better Models and Diagnostics! We Will Show You How To: 

Set up a Demand Planning Process for your Business 

Use Statistical Modeling to Create Baseline Forecasts 

Incorporate Promotional Events Into Your Forecast Modeling 

Use Forecast Error as a Diagnostic to Improve Model Quality