Inventory Analytics Corporate Training
A 24-hour instructor-led program for supply chain and inventory teams.
Your team learns to read inventory data, forecast demand, classify SKUs, and size safety stock through guided hands-on labs that mirror real planning decisions.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build an analytics-driven inventory team
The Edstellar SUPPLY CHAIN Capability Model
Diagnose
We assess your team's current planning workflows, data quality, and inventory KPIs to set the baseline.
Standardize
We align classification rules, service level targets, and reorder policies to proven planning standards.
Practice
Guided labs let your team run forecasting, ABC classification, and safety stock calculations on realistic data sets.
Measure
Progress is tracked against forecast accuracy, stockout rate, and inventory turn targets.
Scale
We help you roll out the winning analytics practices across sites, categories, and seasons.
Need more than one program?Get a group quote
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Program Overview: What is Inventory Analytics?
Inventory Analytics is a 24-hour instructor-led program for inventory planners, supply chain analysts, and operations teams who want data-driven stock decisions. It covers inventory analytics foundations, demand forecasting and variability, ABC/XYZ classification and service levels, safety stock, reorder points, and lot sizing, and multi-echelon and network inventory analytics. Participants deliver an inventory optimization plan.
Training runs as 24 hours of instructor-led sessions built around analytics labs. Participants forecast demand, classify SKUs with ABC/XYZ methods, calculate safety stock and reorder points, size lots, and model multi-echelon networks. Instructors with supply chain analytics experience review every model and coach participants on data quality, assumptions, and translating analysis into policy. The program closes with the Inventory Optimization Plan capstone, where each team presents data-backed stock policies.
Gut-feel inventory decisions create the worst of both worlds: stockouts on key items and capital trapped in slow movers. Spreadsheets full of averages hide the variability that actually drives service failures. This program replaces guesswork with analytics that set the right stock in the right place.
The Inventory Optimization Plan capstone asks each team to turn analysis into policy: demand forecasts, ABC/XYZ classifications, service level targets, safety stock and reorder point calculations, lot sizing, and multi-echelon network recommendations for a realistic product set, all defended against instructor challenges on data gaps and implementation cost. The plan is a document the team could hand to its planning organization tomorrow. Analytics becomes decisions instead of dashboards.
Participants work with realistic data sets to calculate reorder points, build ABC/XYZ classifications, size safety stock for target service levels, and model network inventory trade-offs. Every lab mirrors real planning decisions so your team returns to work ready to cut stockouts, free working capital, and defend planning choices with data.
What's Included in this Workshop for Your Enterprise Teams
- 1
Guided hands-on labs
Practice forecasting, classification, and safety stock on realistic data.
- 2
Capstone optimization plan
Audit an inventory case and defend a service versus cost plan.
- 3
Templates and formulas
Take home forecasting sheets, reorder calculators, and KPI dashboards.
- 4
Instructor review
Get expert feedback on every lab and the final capstone.
- 24 hours of instructor-led training, onsite or live virtual
- Tailored examples using your SKU data and network profile
- Hands-on lab sessions with calculation templates
- Digital workbooks, formulas, and reference sheets
- Capstone inventory optimization plan with instructor review
- One business day response for scheduling and support
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Inventory Analytics Course Topics and Program Outline
Six modules move your team from inventory metrics and data foundations to forecasting, SKU classification, safety stock sizing, network analytics, and a capstone optimization plan.
Built by Edstellar with supply chain planning expertise
Built by inventory planning practitioners who run forecasting and replenishment operations in production, shaped around your stack and use cases.
We map your team's planning workflows, data quality, and inventory KPIs before the program begins.
Your team learns inventory metrics, forecasting methods, and classification frameworks in guided sessions.
Hands-on labs let your team calculate safety stock, set reorder points, and classify SKUs on realistic data.
Your team models network inventory trade-offs and defends a capstone optimization plan with targets.
Your team moves from foundations to a capstone optimization plan in 24 hours.
Delivered as
Delivered onsite at your facility or live virtual. Labs run in every module so skills stick from day one.
Audit a sample SKU data set for quality issues and build a KPI baseline.
learna)Types of inventory: raw, WIP, finished, MRO, and in-transit stock
b)Planning KPIs: inventory turns, days of supply, fill rate, stockout rate
c)Data sources: ERP, WMS, and planning systems that feed analytics
d)Data quality checks: duplicates, gaps, and unit-of-measure errors
e)Setting the analytics baseline for your SKU portfolio
Build a forecast for sample SKUs and measure error against holdout data.
learna)Forecasting methods: moving average, exponential smoothing, seasonality
b)Measuring demand variability and forecast error with MAPE and bias
c)Lead time demand: combining demand and supply uncertainty
d)Promotions, launches, and lifecycle effects on demand patterns
e)Choosing forecast horizons by planning tier
Classify a 500-SKU sample and assign service levels by segment.
practicea)ABC analysis by consumption value and margin contribution
b)XYZ analysis by demand variability and forecastability
c)Nine-box matrices that drive differentiated policies
d)Setting service level targets by segment and channel
e)Review cadences: when to reclassify your portfolio
Calculate safety stock and reorder points for sample SKUs at target service levels.
practicea)Safety stock formulas for demand and lead time variability
b)Reorder point and min-max policies for continuous review
c)EOQ and lot sizing trade-offs between ordering and holding cost
d)Periodic review systems and order-up-to levels
e)Tuning policies for seasonal and promotional SKUs
Model a two-echelon network and quantify pooling benefits.
applya)Multi-echelon trade-offs: central versus forward stocking
b)Risk pooling across locations and demand aggregation
c)Postponement and late configuration strategies
d)Feeding inventory analytics into S&OP and IBP cycles
e)Dashboard design for inventory health reviews
Build and defend a full inventory optimization plan for the case portfolio.
applya)Case portfolio walkthrough: data, constraints, and targets
b)Forecasting and classification of the case SKU set
c)Policy design: service levels, safety stock, and lot sizes
d)Working capital impact and service level trade-offs
e)Plan defense: presenting the optimization case to stakeholders
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Practical outcomes your team takes back to the planning desk after 24 hours of hands-on practice.
Inventory Metrics
Read turns, days of supply, and fill rate to diagnose stock health.
Demand Forecasting
Build forecasts and measure error with MAPE and bias.
SKU Classification
Run ABC/XYZ analysis to segment SKUs by value and variability.
Safety Stock Sizing
Size buffers that hold service levels without excess working capital.
Reorder Policies
Set reorder points, min-max rules, and EOQ-based lot sizes.
Network Analytics
Evaluate multi-echelon trade-offs and pooling opportunities.
Stockout Prevention
Design review cadences that catch risks before shelves go empty.
Teams that Benefit from this Inventory Analytics Group Training
Built for inventory, demand planning, and supply chain teams at every experience level. Content adapts to role and experience so each cohort practices the workflows it owns.
Data-backed stock targets that balance service and working capital
Sharpen forecasting inputs, classification rules, and reorder policies so planners defend every stock target with data.
Workflow friction
- Stock targets set by gut feel
- One-size-fits-all reorder rules
- Working capital trapped in slow movers
How the program helps
- Safety stock sizing by segment
- Forecast error tracking habits
- Reorder policy refresh cycles
Practice use cases
- safety stock lab
- ABC classification
- policy tuning
Sharper forecasts that feed inventory decisions with confidence
Connect forecast accuracy to safety stock so demand planners see how their output drives inventory health.
Workflow friction
- Forecast error hidden in averages
- Promotions distorting baselines
- Weak link to replenishment plans
How the program helps
- Forecast bias detection
- Seasonality pattern analysis
- S&OP input preparation
Practice use cases
- forecast error lab
- bias analysis
- S&OP prep
Planning-aware operations that protect service on the floor
Give warehouse leads the planning logic behind stock positions so daily operations protect service levels.
Workflow friction
- Stockouts blamed on operations
- No visibility into planning logic
- Count effort spread too thin
How the program helps
- KPI literacy for floor leads
- Stockout root-cause analysis
- Cycle count prioritization
Practice use cases
- KPI review lab
- stockout analysis
- count planning
Order timing and lot sizes grounded in demand analytics
Align purchasing lot sizes and order timing with planning analytics so inbound flow matches demand signals.
Workflow friction
- Oversized lots from MOQs
- Lead time surprises on key SKUs
- Inbound waves straining capacity
How the program helps
- Lot size optimization logic
- Lead time variability analysis
- Supplier order calendar design
Practice use cases
- EOQ lab
- lead time study
- order timing
Departments above are examples; the program adapts to your organizational structure.
Prerequisites: Inventory planners, demand planners, and supply chain analysts benefit most from this program. Basic familiarity with spreadsheets and inventory concepts helps but is not required, since the program starts with foundations and adapts examples to each cohort's data and systems.
Inventory Analyst to Supply Chain Manager
Analysts build metrics and forecasting skills first, then advance to classification, safety stock, and network-level planning through the capstone.
One program that grows with supply chain and inventory careers, from basics to confident practice.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Instructor-led delivery that fits your planning calendar, with the same hands-on labs in every format.
Hybrid Training
Blend onsite lab days with live virtual sessions so planning coverage never breaks while the team practices together.
- Onsite labs paired with live virtual deep-dives
- Same guided lab exercises in both formats
- Flexible scheduling around planning cycles
- One instructor across the full program
Onsite Training
Run the program inside your planning center so labs reference your real SKU data and network constraints.
- Labs tailored to your data and categories
- Practice on your actual planning workflows
- Team-wide sessions that build one planning rhythm
- Direct coaching at your desk during exercises
Live Virtual Training
Live virtual instructor-led sessions with breakout labs that keep remote planning teams engaged and practicing.
- Instructor-led sessions with live lab facilitation
- Breakout rooms for team-based exercises
- Digital workbooks and calculation templates
- Recorded references for post-program review
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share team size and dates through the group quote form and we respond with a tailored quote within one business day.
Yes. A short discovery call maps your planning workflows and data so the program targets your gaps.
Yes. The program runs live virtual with breakout labs, the same exercises and instructor interaction as onsite.
Yes. Onsite delivery lets labs use your SKU data, planning systems, and network constraints directly.
The program runs 24 instructor-led hours, typically over three to four days or split across weeks.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Inventory analytics is the second step, after inventory management basics. Your team needs to know how stock is managed before measuring it. The analysis then supports AI-driven demand forecasting and, finally, multi-echelon inventory optimisation across the network.
Why Choose Edstellar as Your Inventory Analytics Training Provider
Edstellar combines supply chain planning expertise with practice-based delivery so your team performs from day one.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Labs and cases are tailored to your SKU mix, network profile, and planning systems before delivery begins.
Proven Methodology
The Diagnose to Scale capability model guides every cohort from baseline assessment to measurable planning gains.
Practice-Based Learning
Your team calculates safety stock, classifies SKUs, and sizes lots in guided labs, never passive lectures.
Expert Trainers
Instructors are practicing planners who have run forecasting and replenishment operations in production.
Global Scale
Deliver the same inventory analytics program across sites, regions, and shifts with consistent quality.
Measurable Outcomes
Track forecast accuracy, stockout rate, and inventory turns before and after the program with clear targets.
Translate Inventory Analysis Into Segmented and Evidence-Based Stock Policies
Edstellar develops inventory analytics through data-quality checks, forecasting, and policy calculations. Participants examine demand variability, use ABC/XYZ segmentation, and compare stock requirements across a two-echelon network. Their optimization plan links analytical results to stock policies, with feedback on forecast error, service-level assumptions, lot sizing, and the evidence behind proposed changes.
- Step 01
Consult
We explore spreadsheet and inventory familiarity, SKU data quality, and how planners currently use forecasts and service targets to identify analytical gaps in stock-policy decisions.
- Step 02
Plan
We establish data quality and KPI baselines before forecasting and ABC/XYZ segmentation, then connect safety stock, reorder calculations, and network pooling analysis in the optimization plan.
- Step 03
Align
We align supply chain analytics expertise with inventory, demand, warehouse, and procurement roles, confirming suitable analytical tools and a shared interpretation of sample SKU fields.
- Step 04
Customize
We adapt sample demand histories, lead times, and order constraints to familiar portfolios, including variable demand and minimum-order cases that challenge uniform replenishment policies.
- Step 05
Execute
Participants test forecasts on holdout data, assign segment service levels, calculate stock parameters, and model pooling, receiving feedback on data quality, assumptions, and interpretation.
- Step 06
Evaluate
We assess the optimization plan for validated forecasts, justified segmentation, accurate stock calculations, and a clear explanation of how network analysis supports the proposed policies.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Inventory Analytics Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Inventory Analytics Training for Your Team
Tell us your team size, sites, and timelines and we will tailor the program to your inventory planning operations.