PREDICTABILITY FOR CPC
Process Overview
| Field | Details |
|---|---|
| Process Name | Predictability for CPC |
| Segment | Consumer |
| Process Family: | Lenovo India |
| Process User(s): | Wyzmindz solutions pvt ltd |
| Process Purpose: | This report is instrumental in providing actionable insights, tracking performance, and supporting Lenovo’s sales strategies |
Version History
| Version Tag | Prepared By | Date of Update/Revision | Validated by | Reviewed by | Approved by | Revision Details |
|---|---|---|---|---|---|---|
| V 1.0 | Kiran Biradar | 17-12-2025 | Dayanand U | Sushruth Vasista | Vishwanath Mosale | SOP Document Creation |
Distribution and Access List
| Designation | Read | Write | Approval |
|---|---|---|---|
| Analyst | Yes | No | No |
| Team Lead | Yes | Yes | No |
| Manager | Yes | Yes | Yes |
1.1 Purpose
- The Predictability Overall Final and Predictability Premium Final sheets present the final weekly performance view after the upload is completed from cpc_auto.xlsm.
- These sheets are used for:
- Weekly checkpoint calls
- Leadership reviews
- Region and India-level performance tracking
1.2 Scope
- Geographic Scope: India.
- Business Segment: Consumer Segment.
- Process Frequency: Fortnightly basis.
- Core Activity: Generate weekly Predictability reports by comparing Commit versus Actual performance for Sell Thru and Sell Out across regions and channels.
1.3 Business/Segment Overview
- This process supports the Consumer segment by tracking weekly Sell Thru and Sell Out performance against commitments, enabling accurate predictability and timely business review.
1.4 Responsibility and authority
- Analyst : Kiran Biradar
- Process Owner : Jospha Jeevitha J
- Process Manager : Dayanand
- Escalation Manager : Sushruth Vasista
- Approval Authority : Vishwanath Mosale
1.5 Escalation matrix: (Wyzmindz and Lenovo)
Escalation Matrix – WyzMindz Solutions Pvt Ltd India
| Sl No. | Name | Designation | Email ID |
|---|---|---|---|
| 1 | Sushruth Vasista | Manager | sushruth.vasista@wyzmindz.com |
| 2 | Vishwanath Mosale | Director | Vishwanath.mosale@wyzmindz.com |
Escalation Matrix – Lenovo India Pvt Ltd
| Sl No. | Name | Designation | Email ID |
|---|---|---|---|
| 1 | Arvind Kumar | Sales Operations Manager – LFR Integrated SC & Operations, India | akumar33@lenovo.com |
1.6 RACI Matrix
RACI Matrix – WyzMindz Solutions Pvt Ltd India
| Report / Process | Responsible | Accountable | Consultation | Informed |
|---|---|---|---|---|
| Data download | Kiran | Kiran | Dayanand | Lenovo Ind Pvt Ltd, Wyzmindz – Lenovo Process Team |
1.7 Access Required
- Outlook Mail from Consumer ID
1.8 Overview of Tools
- Microsoft Excel is required for data and report format and dynamic formulas.
- Microsoft Macro for copy, pasting values from Waterfall.
1.9 Data Dependencies
- PAN India Consumer Sell Thru WF Chart
- PAN India Consumer Sell Out WF Chart
- PAN India Consumer Premium ST WF Chart
- PAN India Consumer Premium SO WF Chart
1.10 Legends
This section explains the meaning of colors, columns, and key terms used in the Predictability output sheets.
Colour Coding
- Green cells
- Performance is 100% or above. Target is met or exceeded.
- Red cells
- Performance is below 100%. Target is not met.
- Yellow / Amber cells (if applicable)
- Performance is close to target and requires monitoring.
Column Legends
- W01 – W13
- Weekly performance values for the quarter.
- MET
- Count of weeks where performance is ≥ 100%.
- Commit
- Planned or committed target values for the week.
- Actual / Act
- Actual achieved values for the week.
- Sell Thru (ST)
- Sales from distributor to retailer.
- Sell Out (SO)
- Sales from retailer to end consumer.
Row Legends
- East 1 / East 2 / North 1 / North 2 / South 1 / South 2 / West 1
- Sub-regions used for performance tracking.
- Region Total
- Sum of all sub-regions within a region.
- India Total
- Combined total of all regions.
- LFR
- Large Format Retail performance.
- Online
- Online channel performance.
- SLBD
- Special Line Business Data (as defined by CPC).
- Overall
- Final consolidated performance across all regions and channels.
Performance Interpretation
- ≥ 100%
- Target achieved.
- < 100%
- Target not achieved.
- 0% or blank
- No data available or no activity for the week.
1.11 Schedule of Reporting
- Frequency: Fortnightly
1.12 Process Flow Chart
Step 1:

Step 2:

Step 3:

1.13 Steps of Procedure
Sheet Used
- Sheet name: cpc
- This is the only sheet the user needs to work on.
Step-by-Step Instructions (Inside cpc_auto.xlsm)
Step 1: Open the File
- Open cpc_auto.xlsm
- Enable macros when Excel asks.
- Make sure you are on the cpc sheet.
Step 2: Enter Predictability File Path
- In Cell A2, paste the full path of the Predictability template file.
Example: F:\REPORTS\CPC-Check point call (Predictability)(Munna)\000 Q3 2025-26\W11\CPC Template - Q3'2526 Wk11.xlsx
This tells the system which Predictability file to update.

Step 3: Select the Week
- Look for the section “WEEK SELECT BELOW”
- In Cell G5, enter the required week.
Example: W11
✔ Use only week format like W01, W05, W11.

Step 4: Select Data Type (Commit or Actuals)
- Look for the section “SELECT COMMIT OR ACTUALS”
- In Cell G8, type one of the following:
- commit → for Commit data
- actuals → for Actuals data
Type exactly as shown (small letters).
Step 5: Start Upload
- Click the “Upload WF” button.
This button runs the entire process automatically.
What Happens After Clicking “Upload WF”
You do not need to do anything during these steps. 1. A file selection window opens. 2. Go to the week folder (example: W11). 3. Select all PAN India source files for that week. 4. Click Open.
The system then:
• Opens each selected file • Reads only approved sheets • Picks correct week data • Groups values correctly • Updates the Predictability file automatically
Files the System Reads Automatically
From the selected week folder, files like:
• PAN India Consumer Sell Thru WF Chart • PAN India Consumer Sell Out WF Chart • PAN India Consumer Premium ST WF Chart • PAN India Consumer Premium SO WF Chart No file needs to be opened manually.
After Process Completion
• Source files are closed automatically • Predictability template stays open • Data is updated under the selected week • A validation Excel file opens for checking totals
1.14 Output Overview:
After successful execution, the following outputs are generated:
Output Files
- Predictability Overall Final sheet
- Predictability Premium Final sheet
- CPC Template Workbook (auto-generated)
Output Details
- Data is shown week-wise (W01 to W13).
- Performance is displayed as:
- Commit values
- Actual values
- Percentage achievement
- Region-wise, India-level, and Overall totals are included.
- MET column shows the count of weeks where performance met or exceeded 100%.
These outputs are used for:
- CPC checkpoint calls
- Weekly performance reviews
- Leadership reporting
No manual changes should be made to the output sheets.
1.15 Validation checklist:
After the upload is completed, the user must perform the following checks:
Input Validation
- Correct week entered in CPC sheet
- Correct data type selected (Commit or Actuals)
- Correct Predictability file path used
- Correct week source files selected
Data Validation
- Selected week column is populated
- Commit and Actual values are present
- No unexpected blank or zero values
- India Total matches sum of regions
- Premium values appear only in Premium sheet
Output Validation
- Green cells indicate ≥100% achievement
- MET count matches number of green weeks
- Overall values align with regional totals
- Validation summary matches source files
Any mismatch must be corrected by re-running the process.
1.16 Communication:
Below mentioned image is body of the mail

Mail ID’s:
- To: akumar33@lenovo.com
- CC: fulfillment.c@wyzmindz.com, du@lenovo.com
1.17 Repository Details:
| Field | Details |
|---|---|
| Name | CPC Template - QQ'YYYY Wk[WW] |
| Type | .xlsx |
| Path / URL | 📊CPC Template |
| Access | Daya/Kiran |
| Owner / Team | Daya |
| Last Updated | 21-12-2025 |