Seasonal Range & Markdown Planning

Q: Can we still make manual adjustments to the recommendations?

Yes. Your team reviews the automated recommendations and can override specific price points, markdown windows, or promotional timing based on business judgment or market conditions.

Q: How does the automation handle feedback from multiple departments?

Feedback is collected through a shared plan document or communication tool. When constraints or priorities change, the automation recalculates recommendations in real time rather than requiring manual spreadsheet updates across multiple.

Q: Will the automation work with our existing tools?

The automation integrates with mainstream sales platforms, accounting software, spreadsheet tools, and team communication systems. We can connect to your specific tools during setup.

Q: What happens to our historical planning data?

Your existing spreadsheets and historical plans remain in place. The automation reads from your current systems and creates new plans going forward without disrupting past records or analysis.

Keep your seasonal buy, sell-through targets, and markdown timing aligned across every channel from one automated workflow.

116 hrs

Manual time identified

Companies have mapped

Map This Automation

About This Automation

Seasonal range and markdown planning requires manually gathering sales data, inventory levels, competitor pricing, and cost information from multiple systems, then consolidating everything into spreadsheets for analysis.

Automation pulls data directly from the sales, inventory, and accounting systems, consolidates it automatically, and generates markdown recommendations with optimal price points and promotional timing. the team reviews and approves a complete plan in days instead of weeks.

Key features:

Extract historical sales velocity and inventory data automatically from your systems

Monitor competitor pricing in real time without manual website visits

Consolidate sales, cost, inventory, and pricing data into a single analysis

Calculate optimal markdown windows and price points based on margin targets

Route plans for review and approval with version control and feedback tracking

Recalculate recommendations instantly when constraints or feedback changes

Data insights How it works Apps used What you get FAQ

Top friction points when done manually

The issues teams report most often with this process

#	Friction point	Companies Report This
1	Manual data consolidation errors Copying data across multiple systems and spreadsheets introduces inconsistencies and calculation mistakes.	80%
2	Competitor pricing research delays Manual website visits and price tracking consume significant time and provide incomplete market intelligence.	67%
3	Multiple revision rounds Feedback loops via email and comments require the analyst to manually recalculate and update spreadsheets repeatedly.	53%
4	Cross-team coordination overhead Routing drafts for review and collecting feedback from merchandising, finance, and leadership takes days.	40%
5	Lack of real-time data visibility Plans are based on static data exports rather than live inventory and sales trends.	26%

Disclaimer

Automation readiness

How well-suited this process is for automation

Process Pain Score™

8.6/ 10

AI Fit Rating™

8.6/ 10

Automation Lift Index™

8.4/ 10

Hidden Overhead™

7.1/ 10

How The Automation Works

The full workflow, from trigger to completion.

1. Seasonal Planning Initiatedtrigger

Marketing team triggers the planning workflow command or form, specifying the season, target launch date, and key constraints.

2. Pull Sales and Inventory Data

Automation queries for historical sales velocity and current inventory levels, then retrieves cost and margin data. Data is consolidated into a live Google Sheet.

3. Fetch Competitor Pricing

Automation retrieves competitor pricing data from a monitored source or API and appends it to the planning sheet for comparison.

4. Calculate Markdown Recommendations

The automation analyzes consolidated data, calculates optimal markdown windows, price points, and promotional timing based on sales velocity, inventory aging, margin targets, and competitor positioning. Recommendations are added to the sheet.

5. Route Plan for Review

Automation sends the draft plan and recommendations to merchandising, finance, and marketing leadership and email, with a link to the live Google Sheet for real-time feedback.

6. Incorporate Feedback

Marketing analyst reviews feedback and the sheet comments, updates assumptions or constraints, and the automation recalculates recommendations based on changes.

7. Publish Approved Plan

Once leadership approves, automation locks the final plan, generates a summary document, and distributes it to all stakeholders and email with execution instructions.

Most popular tool stack used

— the complete tool combinations companies use

52% of companies

28% of companies

15% of companies

Disclaimer

What you get when you map this process

Everything you need to understand, plan, and build your automation.

ROI and business case

What this process costs today and what changes once it's automated.

Launch schedule

What gets built, in what order, and what success looks like once it's live.

Process runbook

How the automation runs day to day, including exceptions and human decision points.

Developer handover pack

Full build spec, logic, and configuration — ready to hand off without a briefing call.

Integration and connections guide

Every tool connection, credential, and data mapping the build needs.

Test and QA plan

128 hrsIdentified

4Mapped

View

Frequently asked questions

Everything you need to know before mapping this process.

What data sources does the automation connect to?

The automation pulls historical sales, inventory levels, and current stock from your sales platform, product costs and margins from your accounting system, and competitor pricing from public sources. All data is consolidated automatically.

Can we still make manual adjustments to the recommendations?

How does the automation handle feedback from multiple departments?

Will the automation work with our existing tools?

What happens to our historical planning data?

View more FAQs

Process pain:8.6/10

Mapped by:4 Companies

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Page updated 10 August 2026