SkillSutra presents · StockSmart Analytics Sprint
Turn Your Inventory Experience into Decision-Ready Dashboards.
You already understand stores, materials, and inventory operations. Now build the reporting skills to turn that knowledge into clearer stock insights, practical Excel reports, and a Power BI dashboard you can confidently explain.
An eight-week, hands-on coaching program for Indian manufacturing inventory professionals.
8 weeks · Weekend live sessions · Practical inventory dashboard project
Inventory overview
Sample dataSKUs in sample
1,240
Below reorder point
38
Ageing > 180 days
112
Stock-out lines
6
Stock status
- Healthy 64%
- Reorder attention 18%
- Slow-moving 13%
- Stock-out 5%
Inventory ageing (days, % of value)
Reorder attention
| Item | On hand | ROP | Status |
|---|---|---|---|
| Bearing 6205-ZZ | 40 | 120 | ▲ Below ROP |
| Hydraulic seal kit | 8 | 15 | ▲ Below ROP |
| MS plate 6 mm | 0 | 50 | ● Stock-out |
Stock movement (issues, last 12 weeks)
Insight to investigate
Review items with extended ageing and check whether their current stock levels, demand patterns, and replenishment settings remain appropriate.
You Know the Stock. Can Your Reports Tell the Story?
Stores and inventory professionals deal with critical operational information every day. The challenge is turning that information into a report that makes the next decision easier.
The goal is not to learn tools for the sake of learning tools. It is to apply them to inventory problems you recognise.
- 01
Too much manual reporting
Compiling spreadsheets, checking figures, and preparing repetitive reports can consume time that could be spent understanding the numbers.
- 02
Data without clear direction
Stock balances and movement figures are useful, but decision-makers also need visibility into exceptions, ageing, replenishment needs, and areas worth investigating.
- 03
Experience that is difficult to demonstrate
You may understand your inventory operation well. Practical reports and a well-explained dashboard can help you show how you analyse information and approach problems.
- 04
New tools, limited implementation time
Excel, Power Query, Power BI, and AI-assisted workflows offer possibilities. Learning how to apply them to familiar inventory situations is the important step.
From Raw Inventory Data to a Clearer Decision Story.
StockSmart Analytics Sprint follows a practical build-and-review approach. You learn, apply the techniques to an inventory reporting project, and improve the result with feedback.
Step 1 · Before
- Reports that require repetitive preparation.
- Inventory information spread across tables and spreadsheets.
- Findings that are difficult to communicate clearly.
Step 2 · During the program
- Practise Excel, Power Query, and AI-assisted reporting.
- Develop a Power BI inventory dashboard.
- Identify useful KPIs and areas for investigation.
- Review and improve the report with feedback.
Step 3 · Target deliverables
- Practical Excel inventory reports.
- A Power BI inventory dashboard project.
- An actionable inventory insight summary.
- A clearer explanation of the analysis and its relevance.
Your actual progress depends on participation, practice, the available data, and implementation. The program does not guarantee specific operational savings, employment outcomes, promotions, or salary increases.
The STOCK Method
A Practical Method. One Inventory Project.
The STOCK Method connects learning with application, observation, interpretation, and continuous improvement.
- S
Stage 1
Study
Understand your current reporting process, the inventory questions you need to answer, and the gaps your project should address.
- T
Stage 2
Transform
Practise Excel, Power Query, and AI-assisted reporting techniques to organise and prepare inventory information more effectively.
- O
Stage 3
Observe
Use KPIs and Power BI visualisations to examine stock status, ageing, movement, and potential exceptions.
- C
Stage 4
Convert
Turn the analysis into an actionable insight summary that explains what deserves attention and why.
- K
Stage 5
Keep Improving
Review the dashboard, incorporate feedback, and strengthen how you present your analysis and its limitations.
The program
Everything Is Built Around Practical Application.
Each component supports a specific part of your inventory analytics project, from understanding the reporting problem to presenting the final work.
Start with Your Reporting Reality
- Personalized inventory reporting diagnostic.
- Identify a suitable reporting challenge and project direction.
Why it matters: Start with the inventory questions that matter to your work instead of learning tools without context.
Learn and Build
- Excel coaching.
- Power Query coaching.
- AI-assisted reporting coaching.
- Guided Power BI inventory dashboard project.
Why it matters: Apply new techniques to a practical inventory reporting workflow.
Understand and Explain the Numbers
- Inventory KPI and decision toolkit.
- Individual dashboard review.
- Improvement feedback.
- Guidance on preparing an actionable inventory insight summary.
Why it matters: Practise turning inventory data into observations that can support a clearer discussion.
Present Your Professional Value
- Resume guidance.
- LinkedIn guidance.
- Project-presentation guidance.
Why it matters: Learn to explain your project, the problem it addresses, your analytical approach, and what the findings can and cannot establish.
Included bonuses
Three Practical Resources to Support Your Work.
Bonus 1
25 Inventory KPI Playbook
A reference to help you explore inventory performance measures and decide which indicators are relevant to your reporting objective.
Bonus 2
AI Reporting Prompt Toolkit
A collection of prompt resources intended to support reporting tasks, analysis workflows, and structured thinking about inventory data.
Bonus 3
Career Visibility Kit
Supporting resources for presenting your analytics project and improving how you communicate your skills through your resume and LinkedIn profile.
Eight Weeks of Learning, Building, and Feedback.
This program is designed to connect learning with implementation. The emphasis is on building a practical project, reviewing your work, and improving your ability to explain inventory insights.
- Duration
- Eight weeks.
- Format
- Weekend live sessions on Saturday/Sunday.
- Learning
- Excel, Power Query, and AI-assisted reporting coaching.
- Application
- Power BI inventory dashboard project.
- Support
- Doubt clearing and defined implementation support.
- Review
- Individual dashboard review and improvement feedback.
- Community
- Inventory Intelligence Circle.
Your weekly time commitment will depend on your current skills, project scope, and practice time. Confirm the current cohort schedule and expected preparation time before enrolling.
Learning pathway
Stage 1
S — Study
Understand the reporting problem and define the project direction.
Stage 2
T — Transform
Prepare and organise information using practical reporting techniques.
Stage 3
O — Observe
Examine inventory measures, patterns, and potential exceptions.
Stage 4
C — Convert
Turn analysis into an actionable insight summary.
Stage 5
K — Keep Improving
Review the work, incorporate feedback, and improve the way findings are communicated.
The pathway shows the learning sequence, not a fixed weekly schedule.
Sample work
See the Kind of Work You Will Learn to Build.
Instead of relying on unverified testimonials or promises, explore an illustrative example of how inventory reporting can be structured.
Inventory overview
Sample dataSKUs in sample
1,240
Below reorder point
38
Ageing > 180 days
112
Stock-out lines
6
Stock status
- Healthy 64%
- Reorder attention 18%
- Slow-moving 13%
- Stock-out 5%
Inventory ageing (days, % of value)
Reorder attention
| Item | On hand | ROP | Status |
|---|---|---|---|
| Bearing 6205-ZZ | 40 | 120 | ▲ Below ROP |
| Hydraulic seal kit | 8 | 15 | ▲ Below ROP |
| MS plate 6 mm | 0 | 50 | ● Stock-out |
| V-belt B-48 | 22 | 25 | ▲ Near ROP |
Stock movement (issues, last 12 weeks)
Insight to investigate
Review items with extended ageing and check whether their current stock levels, demand patterns, and replenishment settings remain appropriate.
- Reorder point (ROP)
- Stock level at which replenishment should be considered.
- Ageing
- Time since stock was received, grouped into day buckets.
- Stock-out line
- An item with zero available quantity.
Demonstration only. The data and insights are illustrative, not actual client results or operational recommendations for a specific plant.
Your project deliverables
- 1
An organised inventory report.
- 2
A Power BI dashboard with relevant measures and visuals.
- 3
An actionable insight summary explaining observations, possible implications, and suggested areas for further investigation.
Is StockSmart Analytics Sprint Right for You?
Good fit
- You work in stores, materials management, inventory control, or a related manufacturing role.
- You understand inventory operations and want to improve your reporting approach.
- You want to apply Excel, Power Query, and Power BI to a practical project.
- You are willing to practise between sessions and incorporate feedback.
- You want to communicate your analytical work more clearly.
You may need a different solution
- You want guaranteed employment, a promotion, or a salary increase.
- You need an advanced data engineering or enterprise software implementation course.
- You want the instructor to complete your work without your participation.
- You require guaranteed inventory savings or a ready-made dashboard integrated into a live ERP.
- You cannot commit to weekend learning and implementation.
You do not need a promise of instant transformation. You need a practical project, structured learning, and the willingness to apply what you learn.
Participation
Take the Next Step Toward Practical Inventory Analytics.
StockSmart Analytics Sprint combines eight weeks of coaching, guided project work, individual dashboard feedback, and practical resources designed around inventory reporting.
Participation includes
- Personalized inventory reporting diagnostic.
- Excel, Power Query, and AI-assisted reporting coaching.
- Power BI inventory dashboard project.
- Inventory KPI and decision toolkit.
- Weekend live classes and doubt clearing.
- Individual dashboard review and improvement feedback.
- Resume, LinkedIn, and project-presentation guidance.
- 25 Inventory KPI Playbook.
- AI Reporting Prompt Toolkit.
- Career Visibility Kit.
Additional coaching support
Eligible participants who meet the attendance and assignment requirements receive up to two additional coaching sessions if they cannot complete the agreed core dashboard.
Attendance, assignment, and completion requirements must be confirmed before enrolment. This provision is additional coaching support, not a cash refund.
Apply for the Next Cohort
Tell us about your current role and what you want to improve in your inventory reporting. Your enquiry will help us discuss the program's suitability, the next cohort, and the enrolment process.
FAQ
Frequently Asked Questions
Your Inventory Experience Is a Starting Point. Make Your Analysis Visible.
Take the next step toward practical inventory reporting, a decision-ready dashboard, and a clearer way to explain your work.