Refine Your Forecast
Quick Answer: After generating a directional forecast, refine it using two approaches: mass updates for broad adjustments based on business rules, and surgical edits with Mo for targeted SKU-level changes. Most users start with mass updates, then fine-tune with surgical edits.
Understanding Your Directional Forecast
When you generate a forecast in Moselle—whether top-down or bottom-up—the initial output is a directional forecast. This forecast provides a data-driven starting point based on historical patterns, trends, and the model you selected.
Directional forecasts are:
Statistically grounded predictions based on your data
Starting points that reflect general demand patterns
Meant to be refined with your business knowledge
Why refinement matters: Your directional forecast doesn't yet include your institutional knowledge—upcoming promotions, product lifecycle changes, market shifts, or category-specific dynamics that only you understand. Refinement bridges the gap between statistical prediction and operational reality.
Two Paths to Forecast Refinement
After reviewing your directional forecast, you have two complementary approaches:
Mass Updates
Broad changes across many SKUs based on business rules
Mo Forecast Guidelines
Surgical Edits
Targeted adjustments to specific SKUs
Conversational edits with Mo
Most users follow this progression: start with mass updates to apply broad business logic, then use surgical edits for fine-tuning individual items.
Mass Updates with Mo Forecast Guidelines
Mass updates are ideal when you need to apply consistent business rules across multiple products. Instead of editing SKUs one by one, you provide Mo with guidelines that describe how your products should behave.
What Are Mo Forecast Guidelines?
Mo Forecast Guidelines are a set of business rules and product knowledge that you provide to Mo. These guidelines help Mo understand:
How you think about different product categories
Seasonal patterns specific to your business
Promotional calendars and their expected impact
Product lifecycle stages (launch, growth, maturity, decline)
Category-specific demand drivers
Creating Your Forecast Guidelines
Review Your Directional Forecast
Start by examining your directional forecast to identify patterns that need adjustment:
Navigate to Forecasting in the left sidebar
Open your forecast scenario
Review the SKU-level projections
Note categories or product groups where the forecast doesn't align with your expectations
Questions to consider:
Which product categories look too high or too low?
Are seasonal patterns correctly reflected?
Do new product launches have appropriate projections?
Are promotional periods accounted for?
Document Your Business Rules
Capture how you think about demand for different parts of your catalog. Consider documenting:
Category-level rules:
"Summer products should show 40% higher demand May through August"
"Holiday gift sets peak in November with 3x normal volume"
"Basics maintain steady demand year-round with minimal seasonality"
Product lifecycle rules:
"New launches typically ramp to full velocity over 8 weeks"
"Products in decline phase should forecast 15% lower than last year"
Promotional rules:
"BFCM products see 2-3x lift during the promotional window"
"Products featured in email campaigns see 25% lift for 2 weeks"
Focus on patterns and rules rather than individual SKU adjustments. Save specific SKU changes for surgical edits.
Share Guidelines with Mo
Open the Mo chat interface and share your forecast guidelines. Mo will use these rules to suggest adjustments across your catalog.
Example prompt: "I've reviewed my directional forecast and want to apply these guidelines to my Spring 2026 forecast:
Outdoor furniture should increase 50% from April through September
Indoor furniture remains flat year-round
New product launches should ramp to full demand over 6 weeks
Products marked as discontinued should decrease 20% each month"
Mo will process your guidelines and propose mass updates that align with your business rules.
Review and Apply Mass Updates
Mo will present the proposed changes based on your guidelines. Review the adjustments to ensure they match your intent:
Check sample SKUs from each affected category
Verify the magnitude of changes aligns with your expectations
Confirm the timing of seasonal adjustments
Approve the changes to apply them to your forecast
Mass updates are applied across your catalog while preserving any individual item settings you've configured (launch dates, comparables, etc.).
Surgical Edits with Mo
After applying mass updates, use surgical edits for targeted adjustments to specific SKUs. This approach is ideal for:
Individual products with unique circumstances
Corrections to specific items after reviewing mass updates
One-off adjustments based on specific market intelligence
Testing different scenarios for key products
How to Make Surgical Edits
Use Natural Language with Mo
Open the Mo chat and describe the specific changes you need:
Example prompts:
"Increase the forecast for SKU-12345 by 30% for Q2—we're running a major promotion"
"Set the forecast for our new protein bar line to match the chocolate bar performance from last year's launch"
"Reduce the forecast for winter accessories by 25% in March—we're exiting the category"
Mo will make the targeted adjustments while preserving your other forecast settings.
Forecast Revision History (Coming Soon)
What's This? Moselle automatically tracks every forecast change behind the scenes. While the UI for browsing revision history isn't available yet, your forecast edits are being captured with full audit trails—and we're building tools to make this history accessible to you.
What's Being Tracked
Every time Mo makes bulk edits to your forecast, Moselle captures a complete revision snapshot:
Change Details:
Before/after values for every modified cell
Number of items and channels affected
Total magnitude of changes across your forecast
Context & Reasoning:
Your original prompt to Mo
Mo's assumptions and reasoning for the changes
Thread ID linking to your full conversation
Timestamp and user information
Upcoming Capabilities
We're actively building UI features to make this revision history accessible:
Revision History Browser:
View a timeline of all changes to your forecast
See who made changes and when
Filter by date range, user, or change magnitude
Click into any revision to see detailed before/after comparisons
Change Comparison:
Side-by-side view of forecast values before and after each edit
Visual diff highlighting exactly what changed
Mo's reasoning displayed alongside the changes
Export revision details for your records
Revert Functionality:
Undo problematic bulk edits with one click
Preview revert impact before applying
Audit & Compliance:
Export complete audit trails for compliance reporting
Share revision history with stakeholders
Track forecast evolution over time
Understand the full story of how your forecast was built
Need Access Now?
If you have an urgent need to review forecast revision history or revert changes before the UI is available:
Contact your Moselle success team and we can provide engineering support to:
Generate detailed revision reports
Review Mo's reasoning for specific changes
Revert problematic edits
Export audit trails for your analysis
Why This Matters
Transparency: See exactly what Mo changed and why, building trust in AI-assisted forecasting.
Accountability: Track who made changes and when, essential for team collaboration and compliance.
Safety Net: Know that you can always review or revert changes if something doesn't look right.
Learning: Understand how your prompts translate to forecast adjustments, helping you work more effectively with Mo over time.
Recommended Workflow for New Users
If you're new to Moselle or working with a fresh forecast, follow this recommended workflow:
Generate Your Directional Forecast
Create your initial forecast using top-down or bottom-up methods. This gives you a data-driven starting point.
How to Create a ForecastFrequently Asked Questions
When should I use mass updates vs. surgical edits?
Use mass updates when:
You need to apply consistent rules across many products
You're adjusting entire categories or product groups
You want to encode business logic that applies broadly
Use surgical edits when:
You're adjusting specific individual SKUs
The change is unique to one product or situation
You're fine-tuning after mass updates
Can I undo forecast changes?
Yes. You can regenerate your directional forecast at any time to start fresh, or use Mo to reverse specific changes. Moselle automatically tracks all forecast changes with detailed audit trails—see the Forecast Revision History section above to learn about upcoming features for browsing and reverting changes.
How do I know if my forecast guidelines are working?
After applying mass updates, spot-check representative SKUs from each affected category. The changes should align with the rules you provided. Over time, track your forecast accuracy using the Forecast Performance Report to see if your guidelines improve predictions.
What if Mo's suggestions don't match my expectations?
Clarify your guidelines with more specific instructions. Mo works best with clear, concrete rules rather than vague direction. For example, instead of "increase summer products," specify "increase outdoor furniture by 50% from April through September."
How often should I refine my forecast?
Most users refine their forecast:
Monthly: Review accuracy and make minor adjustments
Quarterly: Update guidelines based on performance data
Seasonally: Major updates before peak periods (BFCM, summer, etc.)
As needed: When significant business changes occur
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