1. The document discusses various retail analytics strategies and solutions including: retail product life cycle price optimization, markdown optimization for short and long life cycle products, data mining for price optimization, key value item analysis, assortment and space optimization, market basket analytics, optimization intelligence reporting, promotion strategy and measurement, social commerce, and cluster analysis.
2. The solutions aim to optimize pricing, promotions, inventory, and assortments to increase sales and profits through techniques like price elasticity analysis, simulation, localization, and predictive analytics.
3. Benefits cited include increased sales 1-12%, gross margin gains 2-20%, ROI of $10-20 for every $1 invested, and better decision making through
Category Management for My Drug Store
By Kongkiat Phanawadee
Panyapiwat Market and Consumer Behavior Learning Center
Panyapiwat Institute of Management
24 February 2013
Mckinsey survey analysis. Findings for the winning companies and their strategy. Success factors to win in Indonesian market with respect to sales, trade, price
Introductory workshop aimed at sales and marketing teams - Build personas, understand channel option and collect relevant metrics linked to improved business performance and overall corporate goals.
Retailers always seek preferred partners to assist them with Category Management, these are known under the name "Category Captains" What does it take to become one?
Introduction to Sales Management – The Sales Organization
– Determining Sales Related Marketing Policies – Sales
Functions and Policies – International Sales Management
– Personal Selling.
Sales Planning – Sales Budgets – Estimating Market
Potential and Forecasting Sales – Sales Quotes – Sales &
Cost Analysis, Sales Force Management: Hiring and Training Sales
Personnel – Time and Territory Management –Compensating Sales Personnel – Motivating the Sales Force
– Leading the Sales Force – Evaluating Sales Force
Performance.
Marketing Logistics - Distribution as Marketing Mix
Element – Distribution Resource Planning – Marketing
Channel Integration – Channel Management – Nature of
Marketing Channels – Evaluating Channel Performance-
Specialized Techniques in selling – Tele Marketing – Web
Marketing
Distribution Cost Analysis: Managing Channel Conflicts –
Channel Information Systems – Wholesaling – Retailing –
Ethical And Social Issues in Sales and Distribution
Management.
Merchandise, store and financial planning with TargettaMärt Parker
Targetta offers affordable merchandise, store and financial planning tool for retail companies. Our software is designed to improve the accountability and performance in small or large organiztions.
Introduction to Sales Management – The Sales Organization
– Determining Sales Related Marketing Policies – Sales
Functions and Policies – International Sales Management
– Personal Selling.
Sales Planning – Sales Budgets – Estimating Market
Potential and Forecasting Sales – Sales Quotes – Sales &
Cost Analysis, Sales Force Management: Hiring and Training Sales
Personnel – Time and Territory Management –Compensating Sales Personnel – Motivating the Sales Force
– Leading the Sales Force – Evaluating Sales Force
Performance.
Marketing Logistics - Distribution as Marketing Mix
Element – Distribution Resource Planning – Marketing
Channel Integration – Channel Management – Nature of
Marketing Channels – Evaluating Channel Performance-
Specialized Techniques in selling – Tele Marketing – Web
Marketing
Distribution Cost Analysis: Managing Channel Conflicts –
Channel Information Systems – Wholesaling – Retailing –
Ethical And Social Issues in Sales and Distribution
Management.
Category Management for My Drug Store
By Kongkiat Phanawadee
Panyapiwat Market and Consumer Behavior Learning Center
Panyapiwat Institute of Management
24 February 2013
Mckinsey survey analysis. Findings for the winning companies and their strategy. Success factors to win in Indonesian market with respect to sales, trade, price
Introductory workshop aimed at sales and marketing teams - Build personas, understand channel option and collect relevant metrics linked to improved business performance and overall corporate goals.
Retailers always seek preferred partners to assist them with Category Management, these are known under the name "Category Captains" What does it take to become one?
Introduction to Sales Management – The Sales Organization
– Determining Sales Related Marketing Policies – Sales
Functions and Policies – International Sales Management
– Personal Selling.
Sales Planning – Sales Budgets – Estimating Market
Potential and Forecasting Sales – Sales Quotes – Sales &
Cost Analysis, Sales Force Management: Hiring and Training Sales
Personnel – Time and Territory Management –Compensating Sales Personnel – Motivating the Sales Force
– Leading the Sales Force – Evaluating Sales Force
Performance.
Marketing Logistics - Distribution as Marketing Mix
Element – Distribution Resource Planning – Marketing
Channel Integration – Channel Management – Nature of
Marketing Channels – Evaluating Channel Performance-
Specialized Techniques in selling – Tele Marketing – Web
Marketing
Distribution Cost Analysis: Managing Channel Conflicts –
Channel Information Systems – Wholesaling – Retailing –
Ethical And Social Issues in Sales and Distribution
Management.
Merchandise, store and financial planning with TargettaMärt Parker
Targetta offers affordable merchandise, store and financial planning tool for retail companies. Our software is designed to improve the accountability and performance in small or large organiztions.
Introduction to Sales Management – The Sales Organization
– Determining Sales Related Marketing Policies – Sales
Functions and Policies – International Sales Management
– Personal Selling.
Sales Planning – Sales Budgets – Estimating Market
Potential and Forecasting Sales – Sales Quotes – Sales &
Cost Analysis, Sales Force Management: Hiring and Training Sales
Personnel – Time and Territory Management –Compensating Sales Personnel – Motivating the Sales Force
– Leading the Sales Force – Evaluating Sales Force
Performance.
Marketing Logistics - Distribution as Marketing Mix
Element – Distribution Resource Planning – Marketing
Channel Integration – Channel Management – Nature of
Marketing Channels – Evaluating Channel Performance-
Specialized Techniques in selling – Tele Marketing – Web
Marketing
Distribution Cost Analysis: Managing Channel Conflicts –
Channel Information Systems – Wholesaling – Retailing –
Ethical And Social Issues in Sales and Distribution
Management.
Helping Your Field Force Achieve the Perfect Store (RAO) Accelerating Retail ...Global Creative Group, Inc
The “Perfect Store” is now closer than ever thanks to retail activity optimization. You’ll benefit from focus, actionable insights and automated decision-making when you integrate RAO into your sales strategies. A recent Gartner study of digital merchandising solutions concluded that best-in-class performance now results in 95% + accuracy, with results returned within 5 minutes.
It provides a process for sales organizations to combine measurements and KPIs to determine the overall success of the retail execution strategy within a store or segment. RAO extends your retail execution capabilities by leveraging your existing data to generate better outcomes through improved workflows and advanced analytics.
Joe Bellini, CEO of AFS Technologies presents “Helping Your Field Force Achieve the Perfect Store (RAO) Accelerating Retail Activity.”
Manthan is one of the best Restaurant Analytics Software Company in US which provides comprehensive AI-powered solution that addresses every need of the contemporary restaurant chain. With Customer Analytics for restaurant marketing, targeting and personalization, Demand Analytics for identifying opportunities and Operational Analytics for day-to-day management.
Best practices of a merchant on what data reports to analyze and how to prepare for a best seller meeting to Chief Merchandising Officer.
Mech/ Merchandise /Revenue/Gross Profit/Margin/Dollars/Data/Ecommerce/Omnichannel/Retail
Buckle up. Here's how to bring speed & accuracy to retail decision-making. Celect
The days of private runway shows with top-secret designs leading to months of waiting for the next biggest trend are all but over. Instead, retailers are under immense pressure to move faster across all areas of the merchandise, planning, and allocation process - with speed ultimately driving success.
It’s time to tap into your data to uncover methods for introducing a whole new level of speed to your MP&A process.
Celect and AlixPartners dive into a discussion covering:
- Importance of a data-driven plan and open to buy to drive speed
- Why product attribute information can inform and give confidence
- Examples of how retailers accelerated their processes
- How to optimize your inventory with advanced analytics
After viewing this project one can have a outside knowledge of what is category management, why it is important in retail perspective, how category manager perform his duties in a daily roster map.
Merchandise Planning Software - Get ARC
Merchandise Analytics Brochure
You’ll see that ARC consists of a large range of role-based reports,dashboards and analyses that help you with strategic,
tactical as well as
day-to-day decisions.
Day 1 driving business impact multichannel excerptAnn McCartan
An excerpt from Day 1 of a 3 day seminar series on Multichannel Marketing, from strategy to detailed contact plans, campaign examples, metrics and modeling.
Solutions which focus on easy collaboration, visibility and efficiency, across your entire supply chain.
Maximize your profit, reduce costs and increase competitiveness, definitely, with these solutions.
This booklet explores a few use cases of analytics for the supply chain and how it can be leveraged.
For more info visit: https://www.teamcomputers.com/businessanalytics/Supply%20Chain/Booklet-Supply-chain-Digital.pdf
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data LakeWalaa Eldin Moustafa
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
Machine learning and optimization techniques for electrical drives.pptx
What we can do in Retail analytics by bhawani nandanprasad
1. Retail Analytics
Bhawani Nandan Prasad
MS Computer Science and MBA
Target Customer in Retail domain:
Retailers in Grocery, Convenience, Specialty, General Merchandise, Health and Beauty,
Deep Discount, Home and Garden, Building Supplies and Grocery Wholesale
1. Retail Product Life Cycle Price Optimization
Manage & Optimize Prices across the Pricing Life Cycle
Increase Pricing Precision thru Rules, Science & Strategy
Business Revenue Benefits
Compete More Profitably
Shape Shopper Behavior
Enable Data-Driven Decisions
Return on Investment $10-20 on every $1 invested
Forecast Accuracy 91-94%
Sales Increases 2-7%
Gross Margin Gains 2-5%
Product life cycles vary across stores, markets and channels and the proliferation of data to be
analyzed is daunting without scientific solutions which can organize the data, make inferences
and create recommendations that are localized and shopper-centric.
• Image enhancing, profitable prices that achieve strategic and financial objectives
• Targeted, loyalty building, measurable promotions that incentivize omnichannel shoppers to
buy more and buy more often
• Effective end-of-life and end-of-season markdowns that clear inventory at the highest possible
margin – not giving away too much too soon or too little too late
2. Life Cycle Price Optimization enables retailers to execute precise, localized life cycle pricing that
maximizes profitability while achieving category, channel, store, loyalty and performance
objectives.
2. Markdown Optimization For Short Life Cycle Products
Forecast Accuracy 91-94%
Sales Increases 11-20%
Gross Margin Gains 5%
Increase in Capture Rates 4.5-12%
Balances Desired Stock Positions, Exit Dates & Budget Priorities
Escalating markdown budgets have challenged retailers to pare down bloated inventory positions while still
presenting fresh assortments on-time and as-planned.
Across-the-board markdowns have exacerbated the financial impact by further hemorrhaging margin.
Decisions are often emotional and typically do not achieve their objectives because:
• ‘Too much too soon’ causes stock outs & margin loss
• ‘Too little too late’ causes excess stock & impacts sales of new products at full price
• ‘Too everywhere’: Enterprise-wide markdowns cause sales & margin loss
3. 3. Markdown Optimization For Large Life Cycle Products
Markdown Planning, Strategy, Simulation & Measurement
Maximize Sell-through & Profitability with Localization
Stop leaving money on the table by taking enterprise-wide markdowns or making
suboptimal decisions for timing, cadence & depth. Markdown Optimization
empowers retailers to clear inventory while meeting sellthrough & profitability goals.
Not just for seasonal or discontinued items anymore, retailers’ leverage optimization
for category resets, overstock reductions, aged packaging, & date-coded product.
• Localizing Markdowns to Shopper Demand & Inventory Depletion Rates enables
retailers to maximize margin & inventory value while improving freshness & velocity
of product assortment.
• Planning, Management & Predictive Analytics take the emotion out of markdown
decisions by enabling process driven markdown execution.
4. 4. Data Mining Analytics for price optimization
Analytic services enable retailers to jump start their Price Optimization
implementation with deep insight into channel, location, and competitor and
product price elasticity.
Once retailers get the right start, these services provide additional value by
permitting clients to increase pricing sophistication and solve complex
problems as they move up the maturity curve.
Evaluating elasticity at the outset permits initial system configuration that
maximizes the effectiveness of:
• Key (Known) Value Items
• Item Investment Classification
• Store Zone Clustering
• Competitive Positioning
• Category & Sub-Category Strategies
Designed to easily adapt to the growing skill sets and sophistication levels of
retailers, Price Optimization and Advanced Analytics enable clients to continually
drive significant ROI as their organizations gain experience, refine strategies
and hone competitive positions.
5. Build data visualization for elastic workbench and Competitive Intelligence
workbench.
5. Key Value Item Analysis
- Scientific Insight into the Items that Drive Price Image, Impacting Pricing
Strategy & Competitive Positioning.
• Evaluation of item elasticity
• Rankings and recommendations of the top items individually or by price
family
• Lists and rankings by pricing zone, & by category or department
• Coverage analysis to determine percent of business included on KVI lists
Analysis including:
– Product count by department
– Sales metrics by department
– Top 500 breakdown by category
– Top 15 items by revenue change
– Top 15 items by quantity change
– Top item grouping metric comparison
– Breakdown of the top 100, 250, 500 items & groups
Austin |
6. For retailers, a small subset of items has a disproportionate impact on consumer
price perception. These sensitive items are known as Key Value Items, or KVIs. If
a retailer can scientifically identify those items and their relative price
sensitivity, it can have significant control over their perceived price image.
Unfortunately, many retailers don’t have the tools and are left with gut feel,
missing opportunities to optimally price the right items. Companies brings
advanced science to supplement a retailer’s intuition for improved performance
and price perception.
By aggressively pricing true KVIs, retailers are able to:
• Influence consumer price perception
• Drive store traffic
• Compare competitive prices more strategically
• Gain market share against their competitors
• Maintain profitability on less price-sensitive items in their stores.
Apply Decision science based analysis
Scientific product segmentation: Identifies and segments items that reflect or
display:
• High sensitivity, or demand response, to price changes
7. • High sales volume
• Ability to drive store traffic
• “Anchoring” position in market baskets
• High scores on price awareness surveys
• Sensitivity to local competitive influence
Design KVI Groups by need: The analysis can be performed at the chain level, by
region, by pricing zone, or by category.
Validate and compare: Our recommendations can be used as a stand-alone item
group or to augment and validate a retailer’s own KVI item list.
Coverage analysis: Evaluate the fraction of items, by count and by revenue, that
are included in KVI lists for optimal coverage scenarios.
6. Assortment & Space Optimization to increase sales
- Sales Increases: 2-7%
- Gross Margin Gains: 2-4%
- Increased Customer, Traffic Count, Larger Shopper Baskets, Return on
Investment Within 2 Months
This is Predictive analytics Assortment-aware Store Space Optimization.
• Recommends reformats, remodels and refits to ‘right-size’ locations and assortments
within space
• Simulates ‘What If’ scenarios to evaluate strategy
• Breaks down silos between Assortment and Space planning through simultaneous
optimization
• Ensures proper capacity, facings and SKU presence
• Predictive optimization – identifies “size of the prize” before making changes.
• Incorporates 3rd party Market Data to identify competitive gaps and opportunities
• Determines fair share of market and identifies category growth opportunities
• Provides guidance to store reinvention
• Augments and integrates with current assortment and space planning tools
8.
9. 7. Market Basket Analytics
Deep Insight into Shopper Behavior - Impacting Forecasts, Recommendations &
Decisions.
Retailers leverage Market Basket Analysis to provide a window into shopper
behavior, revealing how they select products, make spending trade-offs and
group items in a shopping cart.
Understanding how baskets are built can help retailers merchandise more
effectively by leveraging market basket dynamics in pricing and promotion
decisions. Analysis of transaction-level sales data can reveal deep insights into
shopper buying behavior and answer questions such as:
• What products tend to be purchased together?
• Are shoppers more willing to buy multiples if incented?
• What baskets are the most profitable to my business?
• What buying behavior characterizes my most profitable shopper?
Understanding basket-level dynamics allows retailers to make better decisions
related to base and promotional pricing enabling them to:
• Improve cross-selling opportunities across categories
• Up-sell to better or more profitable brands within purchased categories
• Drive store traffic with the right offer & incentive
• Improve sales with in-store displays by co-locating the right items
• Understand the holistic impact of promotions & price changes
• Improve performance of multiple-purchase offers (e.g. 2 for $2)
10. 8. Optimization Intelligence Reporting & Analysis
• Trends
Trend reporting at all levels across multiple data sets
• Effectiveness Measurement
KPI impacts
• Weekly Comparisons
Highlight sales, top performers & margins
• Competitors
CPI, prices, gaps & opportunities
• User Adoption & Value Measurement
Recommendation acceptance rates & impact of optimization on results
• Data Exception Reports
Data quality & processing errors
• Price Change Monitoring
Monitor price change results across multiple price zones
• Scenario Review
Review scenario configurations & associated key metrics
• Executive & CM Dashboards & Reports
• Identify & respond strategically to sales trends & competitor prices
• Workflow driven analytics for promotion & markdown planning, simulation,
execution, monitoring & effectiveness measurement
9. Promotion Strategy, Planning, Simulation & Measurement Analytics
Sales Increases 1-12%
Gross Margin Gains 5-20%
Unit Movement Growth 1-9%
Promotional Calendar
• Calendar or Grant view
• Filtering capabilities
• Annual promotion planning
• Visibility into campaign, events & promotion
Planning & Management
• Intelligent dynamic workflow
11. • Dynamic & systematic versioning
• Standard & alternate hierarchies
• Strategy planning and modeling
• Supports all vehicles & types
• Event creation & delegation by role
• Offer-level strategy configurations
• Supports complex promotions
Optimize
• Event & offer versions
• Visual layout configurations
• Planning matrix, vehicles & types
• Vendor trade funds
• Inventory aware
Data & Analytics
• Real-time data & model update
• Deal collection & repository
• Simulation visualization & version comparison
• Forecasts impacts & basket cross-effects
Execution & Measurement
• Approval & event status visibility
• Forecast roll ups versus budget & actual
• Actionable Performance Intelligence reporting
• Campaign effectiveness measurement
10.Social Commerce - Drive Engagement and Amplify Customer Conversations
• Leverages social media by delivering promotions amplified through Facebook
• Drives the acquisition of new customers by utilizing loyal customers’
social connections
• Measures social promotion campaigns and events, for social reach and
provides an ROI for every channel and at every touch point
• Modular: Deploys one or multiple social programs to support business
objectives
• Integrates with loyalty systems/programs
12. • Online to In-store: Integrates online, in-store, social and mobile touchpoints
and channels
• Redemptions at Channel of Choice: Checkout online or in-store at POS
• Integrates with Promotion Optimization solution: Determines items and
optimal offers and drive optimized promotions into social and ecommerce
11.Cluster Analysis- Scientifically group stores for optimal pricing alignment
Benefits:
• Optimally grow profit with the right price, for the right customer, at the right
store
• Maximize financial opportunities while recognizing regional perceptions
• Localize pricing to become more consumer-centric
• Compete more effectively against the relevant competition
• Improve store-specific operations with insight into the point of diminishing
returns
Scientific Store Clusters:
Identifies and segments stores by evaluating:
• Consumer price sensitivity
• Geography
• Store-area market data, including population density and competitive price indexing
(CPI)
• Demographics of customers including income level, family structure, ethnicity, and
employment
• Competitive presence, including proximity of primary and partially competitive stores
• Distribution center proximity and relative cost to serve
• Retailer-defined business rules
Service Deliverables
Store Cluster Analysis provides retailers actionable insight into the best store
clusters. The service deliverables include:
• Store elasticity analysis
• Cost-benefit analysis of opportunity versus number of clusters
• Recommended store assignments for each cluster scenario
13. • Demographic and competitive factor analysis of dominant factors in cluster
selection
• Demographic and competitive profiles of recommended cluster groupings
• Incorporation of business rules into cluster analysis
• Pricing consultation to leverage desired strategies to price optimization
configurations