This document provides an overview and introduction to demand planning and supply chain concepts. It discusses key components of demand planning including demand forecasting, inventory planning, and replenishment planning. The goals are to have the right inventory available at the right locations to meet customer demand and achieve target service levels. Integrated demand planning systems allow organizations to more accurately forecast demand, optimize inventory levels across the supply chain, and generate recommended replenishment orders.
Managing supply chain from the front demand planning excellenceNUS-ISS
This document discusses demand planning and forecasting excellence. It begins by introducing the speaker and FuturMaster company which has 20 years of experience in demand planning solutions. It then discusses why forecasting is important for service levels, profitability, inventory optimization and cost reduction. Common business challenges are also outlined such as increasing market complexity, competition, and shortened product lifecycles. The document delves into forecasting concepts including baseline, promotions, cannibalization, and collaborative processes. It emphasizes building the right organization and tools to support a sustainable forecasting process through collaboration, accountability, change management and advanced planning solutions.
This document provides a practitioner's guide to effective demand planning. It discusses how demand planning has plateaued for many companies despite two decades of process and technology refinement. Effective demand planning requires admitting past mistakes, continuous improvement, and carefully reimplementing demand planning technologies to better sense and shape demand. Key success factors include having demand planning report to a central supply chain group rather than sales or other functions to reduce bias. Companies must also carefully design data governance between global and regional teams. Rising demand volatility further challenges traditional demand planning approaches and highlights the need for improvements.
This document discusses sales forecasting methods. It defines sales forecasting as estimating future sales according to a proposed business plan. There are qualitative and quantitative methods. Qualitative methods rely on human expertise and include jury of executive opinion and sales force opinion. Quantitative methods include time-series analysis using trend, seasonal, and cyclical analysis, as well as causal methods like regression analysis. Accurate forecasting allows businesses to systematically plan production levels and cut wasteful spending.
This document discusses strategies for improving demand management performance. It identifies three key areas of focus: benchmarking performance, conducting a competitive maturity assessment, and identifying actions for improvement. Top performers excel at strategic alignment, collaboration, and responsiveness. The document provides a framework to analyze pressures, actions, capabilities and enablers. It also outlines steps that poor, average and top performers can take to enhance demand management.
This document discusses demand planning and the influences on the supply chain. It begins by introducing demand planning and how understanding consumer behavior is key. It then outlines several factors that influence demand, including the marketing mix of product, place, price, and promotion. It also discusses demand patterns like trends, seasonality, and cycles. The document emphasizes that demand planning requires analyzing data from various sources to understand the consumer and forecast future demand. It concludes that demand planning is both an art and a science that requires collaboration between stakeholders.
The document discusses attracting and retaining demand planning talent. It notes that demand planning skills are changing and in high demand as companies expect more from their supply chains. However, finding candidates with the right combination of analytical, communication, and technical skills is challenging. The document provides suggestions for how companies can develop talent internally, promote their demand planning roles, and partner with schools to attract new talent.
This document discusses using machine learning for demand forecasting in supply chain management. It begins by outlining problems with traditional forecasting methods and high errors affecting business decisions. It then proposes using machine learning algorithms that can learn from large datasets to more accurately model demand. Key steps discussed include collecting internal and external data, pre-processing data, building and comparing regression models, and developing a technical architecture to provide ongoing demand forecasting capabilities. The goals are to reduce errors, optimize inventory levels and pricing, and improve profits.
This document provides an overview and introduction to demand planning and supply chain concepts. It discusses key components of demand planning including demand forecasting, inventory planning, and replenishment planning. The goals are to have the right inventory available at the right locations to meet customer demand and achieve target service levels. Integrated demand planning systems allow organizations to more accurately forecast demand, optimize inventory levels across the supply chain, and generate recommended replenishment orders.
Managing supply chain from the front demand planning excellenceNUS-ISS
This document discusses demand planning and forecasting excellence. It begins by introducing the speaker and FuturMaster company which has 20 years of experience in demand planning solutions. It then discusses why forecasting is important for service levels, profitability, inventory optimization and cost reduction. Common business challenges are also outlined such as increasing market complexity, competition, and shortened product lifecycles. The document delves into forecasting concepts including baseline, promotions, cannibalization, and collaborative processes. It emphasizes building the right organization and tools to support a sustainable forecasting process through collaboration, accountability, change management and advanced planning solutions.
This document provides a practitioner's guide to effective demand planning. It discusses how demand planning has plateaued for many companies despite two decades of process and technology refinement. Effective demand planning requires admitting past mistakes, continuous improvement, and carefully reimplementing demand planning technologies to better sense and shape demand. Key success factors include having demand planning report to a central supply chain group rather than sales or other functions to reduce bias. Companies must also carefully design data governance between global and regional teams. Rising demand volatility further challenges traditional demand planning approaches and highlights the need for improvements.
This document discusses sales forecasting methods. It defines sales forecasting as estimating future sales according to a proposed business plan. There are qualitative and quantitative methods. Qualitative methods rely on human expertise and include jury of executive opinion and sales force opinion. Quantitative methods include time-series analysis using trend, seasonal, and cyclical analysis, as well as causal methods like regression analysis. Accurate forecasting allows businesses to systematically plan production levels and cut wasteful spending.
This document discusses strategies for improving demand management performance. It identifies three key areas of focus: benchmarking performance, conducting a competitive maturity assessment, and identifying actions for improvement. Top performers excel at strategic alignment, collaboration, and responsiveness. The document provides a framework to analyze pressures, actions, capabilities and enablers. It also outlines steps that poor, average and top performers can take to enhance demand management.
This document discusses demand planning and the influences on the supply chain. It begins by introducing demand planning and how understanding consumer behavior is key. It then outlines several factors that influence demand, including the marketing mix of product, place, price, and promotion. It also discusses demand patterns like trends, seasonality, and cycles. The document emphasizes that demand planning requires analyzing data from various sources to understand the consumer and forecast future demand. It concludes that demand planning is both an art and a science that requires collaboration between stakeholders.
The document discusses attracting and retaining demand planning talent. It notes that demand planning skills are changing and in high demand as companies expect more from their supply chains. However, finding candidates with the right combination of analytical, communication, and technical skills is challenging. The document provides suggestions for how companies can develop talent internally, promote their demand planning roles, and partner with schools to attract new talent.
This document discusses using machine learning for demand forecasting in supply chain management. It begins by outlining problems with traditional forecasting methods and high errors affecting business decisions. It then proposes using machine learning algorithms that can learn from large datasets to more accurately model demand. Key steps discussed include collecting internal and external data, pre-processing data, building and comparing regression models, and developing a technical architecture to provide ongoing demand forecasting capabilities. The goals are to reduce errors, optimize inventory levels and pricing, and improve profits.
A consulting company conducted a Strategic Value Assessment (SVA) of a European food supplements company's demand planning and forecasting processes. They found the company's processes to be siloed and lacking integration between functions and markets. Forecasting was done manually in Excel with no statistical methods. The consulting company proposed a multi-year roadmap to implement an integrated, demand-driven process across the company using SAP software, with the goal of improving revenue growth, profitability, and credibility with customers.
Forecasting lessons from FMCG aisles by Thinus Hermann at the 37th Annual SAPICS conference and exhibition, held at Sun City, South Africa on 1 June 2015.
Demand Forecasting Within The Grocery Industryahmad bassiouny
The document provides a guide for demand forecasting within the grocery industry. It outlines objectives to create an easy to use guide applicable across trading environments. The guide provides a framework for demand forecasting and improving processes. It discusses partnerships, processes, technology, people and maturity profiles to increase benefits and collaborative forecasting. Case studies on companies like Sanitarium and P&G/Franklins demonstrate improved forecast accuracy and inventory levels from collaborative forecasting.
This document provides an overview of sales forecasting methods. It begins with introducing the speaker, Magdy Abdelsattar, and his contact information. The document then outlines the objectives of the training, which are to explain what sales forecasting is, why it is important, how the process works, and to introduce different forecasting methods and how to apply them. Both qualitative and quantitative forecasting methods are discussed at a high level, including Delphi technique, expert judgment, scenario writing, and time series analysis.
This document provides information about an individual named Vikash Kumar and discusses market research, sales forecasting, and forecasting methods. It defines market research as determining what to produce, who will purchase items, where purchasers are located, how much to manufacture, when to sell, and how to maximize profits. Sales forecasting is defined as estimating future sales of an item or products. The document outlines short-term and long-term forecasting and their purposes, including planning production, materials, purchases, and workforce. It also discusses forecast errors.
This document discusses demand forecasting techniques. It outlines the objectives of demand forecasting such as understanding the role and reasons for forecasting. It then describes various qualitative and quantitative forecasting methodologies including surveys, sales force composites, exponential smoothing, and regression analysis. Finally, it discusses measuring forecast accuracy using metrics like mean error and developing control limits to monitor forecast performance.
Forcasting demand, By: Indra Petrus Ambarita. Dosen : Dr. Dadang SurjasaINDRA PETRUS AMBARITA
This document discusses demand forecasting techniques for three industries:
1) The food and FMCG industry faces strong price erosion, increased raw material costs, and short product life cycles. Accurate forecasting requires one-number planning, promotion planning, upstream collaboration, and resolving capacity bottlenecks.
2) The automotive industry deals with high inventory levels and low turns. Demand forecasting and inventory optimization using SAS helps minimize costs while maintaining service levels and market share.
3) The fashion industry has short product lifecycles and seasonal demand. Fourier analysis can provide a more effective forecasting method compared to other heuristics due to fashion products' strong seasonal nature.
The document summarizes a seminar on supply chain planning theory and best practices. It includes an agenda for the event covering topics like demand planning, replenishment planning, production planning, buffer stocks, and industry trends. Recent trends discussed include increased collaboration across supply chain partners and a movement toward centralized planning over decentralized approaches. The presentation aims to explain key supply chain planning concepts and challenges through case studies and examples.
Semiconductor industry demand forecasting using custom modelsrrhm90
I recently had the opportunity to work with Tony Alvarez on a forecasting project for a major display manufacturer where Tony served as COO. Hope you enjoy our presentation!
This is a presentation covering the concepts of demand forecasting. it includes the meaning of demand forecasting, purpose, scope and factors affecting demand forecasting. It also covers the methods of forecasting for both new and existing products.
Sales forecasting is an important process that allows companies to predict future sales and make informed decisions. It involves determining future demand for products and using that information for sales planning, supply chain management, financial planning, and other key business functions. Accurate forecasting requires gathering data, selecting an appropriate forecasting model, and validating results. While forecasting provides many benefits, errors can occur if the data, assumptions, or environment changes in unexpected ways. Overly optimistic or pessimistic forecasts can lead to overproduction or underproduction.
The document discusses various techniques for sales forecasting, which is an important tool for business planning. It describes qualitative methods like jury of executive opinion and Delphi technique, which rely on human judgment. Quantitative methods discussed include moving averages, exponential smoothing, decomposition, naïve/ratio method, and regression analysis. These quantitative methods utilize historical sales data and statistical models to forecast future sales trends. The document provides examples and formulas for various quantitative forecasting techniques.
This document discusses various quantitative and qualitative forecasting methods including executive opinion, Delphi method, survey of buyers' intentions, moving averages, exponential smoothing, decomposition, naive/ratio method, regression analysis, and econometric analysis. It provides details on each method such as how it works, advantages, and disadvantages. The document also discusses sales forecasting budgets including sales volume budget, selling expense budget, and administrative budget of the sales department. Budget preparation involves planning, coordination, and control.
This document discusses sales forecasting methods. It defines sales forecasting as projecting expected customer demand for products or services at a company for a specific time horizon based on certain assumptions. Accurate forecasts are important for business planning, marketing, and management decisions. Both quantitative and qualitative methods are described. Quantitative methods include the executive opinion method, sales force composite method, and survey of buyer's intentions. Qualitative methods include time series analysis, market test method, and regression analysis. Accurate short, medium, and long term forecasts benefit businesses through improved inventory control, staffing, customer information, sales performance, and financing. Limitations include forecasts containing elements of subjectivity and uncertainty due to changing market conditions.
The Art and Science of Sales Forecasting: A Webinar for Sales Managers and Co...Birst
Overview
Sales forecasting is a science and an art. It is the combination of information and metrics, intuition and best practices. However, sales forecasting is most commonly associated to the standard grading methodology of the particular customer relationship system that is being used (Salesforce.com, Oracle, Microsoft, etc.). In reality, how do key sales leaders become high performing accurate sales forecasters? In addition, how do companies effectively utilize sales forecasting information to increase overall organizational performance?
Here’s what we’ll discuss in this session:
State-of-the-art forecasting strategies, best practices, and key metrics
The interconnection between product complexity, company lifecycle stage, and accurate forecasting
Mitigating downside risk and triangulation strategies to determine the truth
Deal inspection and vetting sales rep forecasts
The different types of sales forecasters; exaggerators, sandbaggers, and Heavy Hitters
The difference between snapshot, intra-department, and inter-department sales forecasting
A case study on how to improve forecast accuracy by incorporating market or business intelligence into statisitical forecasting and know whether it improves forecast accuracy or not.
Demand forecasting, a crucial concept of Managerial Economics.
How demand is forecasted for various time horizons and various firms.
How is done for existing as well as new companies.
Business Case: Sales forecasting with SAS Advanced Analytics for the Pharmace...Claudio Menozzi
Goal: Predict New Product Market Penetration
Company: One of the world’s largest biotech companies, with more than 7,000 employees across six continents and a rapidly expanding product portfolio and a growing pipeline.
Business Area: The company provides medical product support across the Hospital Channel
Business Needs: Understanding the adoption of the existing products and predict adoption of new products allows to increase the customer service, adoption and eventually profitability
Project dealt by Achille Masserano, Enterprise Information Manager at Blue BI
This document discusses demand management and demand forecasting in supply chains. It defines demand as a customer's desire and willingness to purchase a product and explains that demand management involves forecasting, planning, and managing customer demand. The document outlines different types of demand patterns and forecasts, such as seasonal, trend, and random patterns for short, medium, and long term forecasts. It also discusses the importance of demand forecasting and managing forecast errors to effectively plan production quantities and inventory levels to meet customer needs.
Oracle's Siebel Marketing Resource Management (MRM) is a complete solution that allows companies to plan, budget, execute, and measure global marketing efforts. It provides key features such as automating marketing processes, improving budgeting and planning, gaining visibility into spending and performance, and aligning spending with corporate objectives. Siebel MRM streamlines processes and efficient management across the entire marketing lifecycle.
Swan Mill Paper Company - Prophix UK In-Depth Profile - FinalRitchie Ledger
Swan Mill Paper Company switched from Adaptive Insights to Prophix for their financial planning and analysis needs. Prophix provided multi-currency budgeting and forecasting capabilities for Swan Mill's global divisions, as well as accurate sales forecasting. Swan Mill can now make better business decisions based on insights from Prophix into customer contributions, product performance, and regional trends. The implementation was completed within 3 days and Prophix has since supported Swan Mill's detailed analysis of financial and operational KPIs.
A consulting company conducted a Strategic Value Assessment (SVA) of a European food supplements company's demand planning and forecasting processes. They found the company's processes to be siloed and lacking integration between functions and markets. Forecasting was done manually in Excel with no statistical methods. The consulting company proposed a multi-year roadmap to implement an integrated, demand-driven process across the company using SAP software, with the goal of improving revenue growth, profitability, and credibility with customers.
Forecasting lessons from FMCG aisles by Thinus Hermann at the 37th Annual SAPICS conference and exhibition, held at Sun City, South Africa on 1 June 2015.
Demand Forecasting Within The Grocery Industryahmad bassiouny
The document provides a guide for demand forecasting within the grocery industry. It outlines objectives to create an easy to use guide applicable across trading environments. The guide provides a framework for demand forecasting and improving processes. It discusses partnerships, processes, technology, people and maturity profiles to increase benefits and collaborative forecasting. Case studies on companies like Sanitarium and P&G/Franklins demonstrate improved forecast accuracy and inventory levels from collaborative forecasting.
This document provides an overview of sales forecasting methods. It begins with introducing the speaker, Magdy Abdelsattar, and his contact information. The document then outlines the objectives of the training, which are to explain what sales forecasting is, why it is important, how the process works, and to introduce different forecasting methods and how to apply them. Both qualitative and quantitative forecasting methods are discussed at a high level, including Delphi technique, expert judgment, scenario writing, and time series analysis.
This document provides information about an individual named Vikash Kumar and discusses market research, sales forecasting, and forecasting methods. It defines market research as determining what to produce, who will purchase items, where purchasers are located, how much to manufacture, when to sell, and how to maximize profits. Sales forecasting is defined as estimating future sales of an item or products. The document outlines short-term and long-term forecasting and their purposes, including planning production, materials, purchases, and workforce. It also discusses forecast errors.
This document discusses demand forecasting techniques. It outlines the objectives of demand forecasting such as understanding the role and reasons for forecasting. It then describes various qualitative and quantitative forecasting methodologies including surveys, sales force composites, exponential smoothing, and regression analysis. Finally, it discusses measuring forecast accuracy using metrics like mean error and developing control limits to monitor forecast performance.
Forcasting demand, By: Indra Petrus Ambarita. Dosen : Dr. Dadang SurjasaINDRA PETRUS AMBARITA
This document discusses demand forecasting techniques for three industries:
1) The food and FMCG industry faces strong price erosion, increased raw material costs, and short product life cycles. Accurate forecasting requires one-number planning, promotion planning, upstream collaboration, and resolving capacity bottlenecks.
2) The automotive industry deals with high inventory levels and low turns. Demand forecasting and inventory optimization using SAS helps minimize costs while maintaining service levels and market share.
3) The fashion industry has short product lifecycles and seasonal demand. Fourier analysis can provide a more effective forecasting method compared to other heuristics due to fashion products' strong seasonal nature.
The document summarizes a seminar on supply chain planning theory and best practices. It includes an agenda for the event covering topics like demand planning, replenishment planning, production planning, buffer stocks, and industry trends. Recent trends discussed include increased collaboration across supply chain partners and a movement toward centralized planning over decentralized approaches. The presentation aims to explain key supply chain planning concepts and challenges through case studies and examples.
Semiconductor industry demand forecasting using custom modelsrrhm90
I recently had the opportunity to work with Tony Alvarez on a forecasting project for a major display manufacturer where Tony served as COO. Hope you enjoy our presentation!
This is a presentation covering the concepts of demand forecasting. it includes the meaning of demand forecasting, purpose, scope and factors affecting demand forecasting. It also covers the methods of forecasting for both new and existing products.
Sales forecasting is an important process that allows companies to predict future sales and make informed decisions. It involves determining future demand for products and using that information for sales planning, supply chain management, financial planning, and other key business functions. Accurate forecasting requires gathering data, selecting an appropriate forecasting model, and validating results. While forecasting provides many benefits, errors can occur if the data, assumptions, or environment changes in unexpected ways. Overly optimistic or pessimistic forecasts can lead to overproduction or underproduction.
The document discusses various techniques for sales forecasting, which is an important tool for business planning. It describes qualitative methods like jury of executive opinion and Delphi technique, which rely on human judgment. Quantitative methods discussed include moving averages, exponential smoothing, decomposition, naïve/ratio method, and regression analysis. These quantitative methods utilize historical sales data and statistical models to forecast future sales trends. The document provides examples and formulas for various quantitative forecasting techniques.
This document discusses various quantitative and qualitative forecasting methods including executive opinion, Delphi method, survey of buyers' intentions, moving averages, exponential smoothing, decomposition, naive/ratio method, regression analysis, and econometric analysis. It provides details on each method such as how it works, advantages, and disadvantages. The document also discusses sales forecasting budgets including sales volume budget, selling expense budget, and administrative budget of the sales department. Budget preparation involves planning, coordination, and control.
This document discusses sales forecasting methods. It defines sales forecasting as projecting expected customer demand for products or services at a company for a specific time horizon based on certain assumptions. Accurate forecasts are important for business planning, marketing, and management decisions. Both quantitative and qualitative methods are described. Quantitative methods include the executive opinion method, sales force composite method, and survey of buyer's intentions. Qualitative methods include time series analysis, market test method, and regression analysis. Accurate short, medium, and long term forecasts benefit businesses through improved inventory control, staffing, customer information, sales performance, and financing. Limitations include forecasts containing elements of subjectivity and uncertainty due to changing market conditions.
The Art and Science of Sales Forecasting: A Webinar for Sales Managers and Co...Birst
Overview
Sales forecasting is a science and an art. It is the combination of information and metrics, intuition and best practices. However, sales forecasting is most commonly associated to the standard grading methodology of the particular customer relationship system that is being used (Salesforce.com, Oracle, Microsoft, etc.). In reality, how do key sales leaders become high performing accurate sales forecasters? In addition, how do companies effectively utilize sales forecasting information to increase overall organizational performance?
Here’s what we’ll discuss in this session:
State-of-the-art forecasting strategies, best practices, and key metrics
The interconnection between product complexity, company lifecycle stage, and accurate forecasting
Mitigating downside risk and triangulation strategies to determine the truth
Deal inspection and vetting sales rep forecasts
The different types of sales forecasters; exaggerators, sandbaggers, and Heavy Hitters
The difference between snapshot, intra-department, and inter-department sales forecasting
A case study on how to improve forecast accuracy by incorporating market or business intelligence into statisitical forecasting and know whether it improves forecast accuracy or not.
Demand forecasting, a crucial concept of Managerial Economics.
How demand is forecasted for various time horizons and various firms.
How is done for existing as well as new companies.
Business Case: Sales forecasting with SAS Advanced Analytics for the Pharmace...Claudio Menozzi
Goal: Predict New Product Market Penetration
Company: One of the world’s largest biotech companies, with more than 7,000 employees across six continents and a rapidly expanding product portfolio and a growing pipeline.
Business Area: The company provides medical product support across the Hospital Channel
Business Needs: Understanding the adoption of the existing products and predict adoption of new products allows to increase the customer service, adoption and eventually profitability
Project dealt by Achille Masserano, Enterprise Information Manager at Blue BI
This document discusses demand management and demand forecasting in supply chains. It defines demand as a customer's desire and willingness to purchase a product and explains that demand management involves forecasting, planning, and managing customer demand. The document outlines different types of demand patterns and forecasts, such as seasonal, trend, and random patterns for short, medium, and long term forecasts. It also discusses the importance of demand forecasting and managing forecast errors to effectively plan production quantities and inventory levels to meet customer needs.
Oracle's Siebel Marketing Resource Management (MRM) is a complete solution that allows companies to plan, budget, execute, and measure global marketing efforts. It provides key features such as automating marketing processes, improving budgeting and planning, gaining visibility into spending and performance, and aligning spending with corporate objectives. Siebel MRM streamlines processes and efficient management across the entire marketing lifecycle.
Swan Mill Paper Company - Prophix UK In-Depth Profile - FinalRitchie Ledger
Swan Mill Paper Company switched from Adaptive Insights to Prophix for their financial planning and analysis needs. Prophix provided multi-currency budgeting and forecasting capabilities for Swan Mill's global divisions, as well as accurate sales forecasting. Swan Mill can now make better business decisions based on insights from Prophix into customer contributions, product performance, and regional trends. The implementation was completed within 3 days and Prophix has since supported Swan Mill's detailed analysis of financial and operational KPIs.
Groupsoft is a leading Software Solution company with focus on Retail
Solutions. Groupsoft has implemented complex retail solutions at more than
60 retailers globally. It operates out of US, Canada and India and serves
customer in North America, South America, Europe, South Africa, Middle East
and Asia.
Groupsoft retail expertise extends to all categories of retailers from Food and
Grocery, Apparel, Opticals, Electronics and Home Appliance in multi- formats
including Hyper Markets, Supermarkets, Convenience Stores, Luxury Stores
etc. For more information, visit www.groupsoftus.com
Skills -
SAP Solution
SAP Application
SAP Services
Financial and Cost Management
Customer Relationship Management
Human Capital Management
Supply Chain Management
Supplier Relationship Management
SAP ERP
Business Analytics Solutions
Business Performance Management
SAP POS
Point of sales
Retail Solution
ERP Implementation
Supply Chain Optimization
Business Warehouse Consulting
Merchandise Assortment Planning
supply chain management
Consumer Packaged Goods
Planning retail
Retail it outsourcing
Assortment planning
The document summarizes an inventory management software solution called Soft4Inventory that integrates with Microsoft Dynamics NAV. It claims Soft4Inventory can increase customer service levels by up to 50% while decreasing average inventory levels by 40% according to customer experiences. Soft4Inventory uses TOC dynamic buffer technology and LEAN pull replenishment approaches to efficiently manage inventory levels. It provides features like right automation level, transparency, fast decision making, unified KPIs, harmonization with LEAN culture, and pull replenishment procedures. Soft4Inventory brings benefits to companies in mass production, distribution, wholesale, retail and other industries.
PromoPro is an interactive business planning tool designed to help companies maximize returns on trade promotion spending. It analyzes promotional activity data to answer questions about which promotions, products, channels, and mechanics are most effective. PromoPro can be used for one-off consulting projects or licensed long-term for companies to use internally. It integrates manufacturers' shipment and promotional data with retailers' sales data to evaluate promotions' impacts on sales volumes, profits, and other metrics. The goal is to identify best practices to replicate successful promotions and continuously improve promotional strategy.
What is Omni Channel Retail?
Why do we need omni-channel strategy?
How to implement omni-channel strategy?
Why do we need omni-channel supply chain strategy?
How to implement omni-channel Customer service strategy?
What is the role of creativity and innovation in strategy?
Accelerate CRM Adoption Through Interface Excellence, EnablePro
It is designed to transform how your sales team sells. It is built on the principal that "one-size fits one" : EnablePro allows you to configure the platform around your requirements, and is easily reconfigured and adaptable to enable agile approaches to selling in changing world. It's fully integrated with CRM or can be used standalone
The document provides an overview of Oracle's customer relationship management (CRM) suite of applications. It describes modules for marketing, sales, contracts, customer service, e-commerce, order fulfillment, and other business processes. Each module allows for activities like campaign management, sales force automation, contract lifecycle management, customer support, and service billing. The suite integrates these modules to provide a complete end-to-end CRM solution with capabilities like customer data centralization and workflow automation. It also outlines Oracle's install base application, which tracks product instances through their lifecycle from inventory to customer sites and service returns.
Acting on a global basis to help our clients deliver winning marketing strategies through rigorous analytics, in-depth understanding and powerful insights. Making a difference - together.
The document outlines 10 principles of pricing:
1. Pricing has broad strategic impact on business models, portfolios, differentiation, brands, and customers.
2. Look for pricing approaches that benefit both consumers and the company in a "win-win" situation.
3. Understand competitive pressure points but don't rely solely on them to maximize profits at the risk of souring customers.
Imran Munir has over 13 years of experience in business development, sales, and procurement. He has held several roles including key accounts manager, sales manager, customer relationship manager, and service contracts department manager. Currently he works as a key accounts manager for Free Trend Solutions in Saudi Arabia where he manages international and local customer accounts. He is skilled in areas such as new business development, bid shaping, portfolio and channel management, and people management.
Hierarchical planning - process that translates annual business & marketing plans & demand forecasts into a production plan for a product family (products that share similar characteristics) in a plant or facility leading to the Aggregate Production Plan (APP)
Planning horizon of APP is at least one year & is usually rolled forward by three months every quarter
Includes costs relevant to the aggregate planning decision include inventory, setup, machine operation, hiring, firing, training, & overtime costs
Manufacturing x - Success Story 2019 - InterplexIn Mind Cloud
Sales Digitalization – The End-to-End CRM and CPQ Process
- Key Elements of Successful Digital Sales Transformation
- The Customer Journeys That Matter Most
- An Example End-to-End Buying Journey
- Improve Back-end Processes with SAP
Sales Digitalization Case Study
- Case Study: Strategy and Challenge
- Case Study: A Winning Digital Sales Process
- Case Study: Improved KPIs
Read more at https://inmindcloud.com/resources/
Megh Technologies is a software and technology firm that provides innovative IT products and consulting services to fortune 500 companies. They have over 50 technology experts across offices in India, Dubai, Kuwait, and the UK. Megh Solar CRM is their customized customer relationship management software designed specifically for solar companies in Australia. It integrates tools to help solar businesses efficiently manage leads, quotes, orders, installations, billing and more. The software aims to provide visibility across operations and help solar companies scale their business.
Softmogul is a complete suite of products to manage your hotel's operations, deliver a better customer experience, increase revenues and explore new markets to grow.
The Ultimate Tech Stack: 4 Omnichannel Solutions for the Scaling MerchantAndy Eastes
Learn how SkuVault, BigCommerce, ShipStation, and SellerActive work together to help omnichannel eCommerce merchants scale their business against competitors.
https://www.skuvault.com/
https://www.bigcommerce.com/
https://www.shipstation.com/
https://www.selleractive.com/
This document is a resume for Mohammed Firasath Ullah, who currently works as a Supply Chain Manager for Philips in the Middle East and Turkey. It summarizes his experience managing operations and logistics for various companies in Saudi Arabia over the past 20 years. His roles have included demand planning, procurement, order processing, warehousing, and insurance management. He has certifications in change management, lean management, and ISO standards.
You’ve created a powerful and focused strategic plan. Your business is undergoing significant transformation. Now comes the hard part. Implementation. You know what you have to achieve, but how can you make sure everyone is aligned and focused on execution.
My Single Point keeps you on top of the situation with real-time monitoring and full visibility of all activities to achieve the strategic objectives. What-if simulation modeling enables you to understand different options, simulating the implications of change across the organization and budgets, giving you tools for fast decision-making. My Single Point even provides automated alerts that require immediate attention.
Contact us for a demo:
IT-as-a-Service Consulting S.P.R.L
18 avenue Jean XXIII
1330 Rixensart – Belgium
Tel: +32 2 318.12.71
Fax: +32 2 318.81.41
Mobile: +32 478.40.30.12
Email: info@itaasc.com
web: www.itaasc.com
AdTriva is a global performance-based mobile marketing network with 15+ employees and 200% growth since 2013. It has offices in India, Italy, and Nigeria. AdTriva offers a self-serving CPA platform with powerful targeting and tracking capabilities. It provides advertisers access to huge mobile inventory sources through its 500+ direct publishers and affiliates worldwide.
Similar to Just Enough Presentation Introduction (20)