Mass Editing with Mo

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Quick Answer: Open your production plan, click the Mo chat icon, and describe the change you want to apply across multiple SKUs or orders. Mo will apply the edit in bulk — no manual row-by-row updates required.

What is Mass Editing in Moselle?

Mass editing is the ability to apply a single change — such as a quantity buffer, lead time update, or budget constraint — across your entire production plan at once. Rather than updating each SKU individually, you describe the change to Mo in plain language and Mo applies it across the affected rows.

Time Required: 2–5 minutes per bulk edit Difficulty: Beginner

Before you begin, make sure you have:


Accessing Mo in Production Planning

1

Open Your Plan

  1. Navigate to Production Planning in the left sidebar

  2. Open an existing plan or generate a new one

2

Open the Mo Panel

Click the Mo chat icon to open Mo alongside your plan.

Mo has full context of the plan in view, including your forecast data, current stock levels, supplier lead times, and order recommendations.

3

Describe Your Edit

Type your bulk edit request in plain language. Be specific about the scope — which SKUs, suppliers, or date range should be affected.


Adjusting Order Quantities

Mo can increase, decrease, or recalculate quantities across your plan without you touching individual rows.

Example Prompt
What Mo Will Do

Increase the order quantity for [SKU] by [X] units.

Updates the quantity and recalculates the impact on stock cover and cost.

What happens if I reduce this order by 20%?

Models the coverage impact so you can assess the risk before committing.

Round all order quantities up to the nearest [MOQ].

Applies minimum order quantity rounding rules across the plan.

Adjust quantities to cover [X] months of demand instead of [Y].

Recalculates order sizes based on a new target coverage window.

Apply a 10% buffer to all order quantities in this plan.

Adds a safety buffer across all recommended quantities.

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Tip: Ask Mo "what would happen if…" before committing. Mo will model the change and show you the impact on stock cover and cost — you can then decide whether to apply it.


Adjusting Order Timing

You can ask Mo to shift when orders are scheduled to arrive or be placed — across a single SKU or your entire plan.

Example Prompt
What Mo Will Do

Move the order for [SKU] to arrive by [date].

Recalculates the order placement date based on your supplier's lead time, working backwards from the new arrival date.

Push all orders arriving in [month] out by two weeks.

Applies a bulk shift to the arrival window across all affected SKUs.

What's the latest I can place this order and still cover demand?

Returns the latest safe order date before a projected stockout occurs.

Can I consolidate these orders into one shipment?

Evaluates whether orders can be grouped without creating coverage risk.


Mass Editing Across the Plan

Mo supports bulk edits so you are not making changes SKU by SKU.

Example Prompt
What Mo Will Do

Apply a 10% buffer to all order quantities in this plan.

Adds a safety buffer across all recommended quantities.

Update lead times for [Supplier] to [X] days and recalculate.

Re-runs the affected order dates and quantities with the new lead time applied.

Flag all SKUs where the order value exceeds $[X].

Surfaces high-value orders for review before submission.

Remove all orders below [X] units from this plan.

Filters out sub-threshold orders, useful for minimising shipment complexity.


Budget-Based Order Creation

You can set a spending constraint and have Mo build a purchase order that works within that budget — prioritising your most critical inventory needs first.

Example Prompt
What Mo Will Do

I have a budget of $[X] — what should I order?

Allocates the budget across your highest-priority SKUs based on stockout risk and unit cost, and generates a draft PO.

Create a PO for [Supplier] with a maximum spend of $[X].

Builds a supplier-specific PO optimised within the budget, applying your replenishment rules and coverage targets.

I can only spend $[X] this month — which orders should I prioritise?

Ranks your outstanding order needs by urgency and shows what fits within the constraint.

What can I order from [Supplier] for under $[X] and still cover demand for [X] weeks?

Finds the optimal order mix for a given supplier, budget, and coverage target.

I have $[X] left in my budget — fill in the gaps in my current plan.

Identifies uncovered demand in the existing plan and uses the remaining budget to address the highest-risk gaps first.

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Prioritisation: When working with a budget constraint, Mo prioritises SKUs closest to a stockout by default. You can ask Mo to adjust this — for example, by margin, by sales velocity, or by supplier.


Checking PO Status

Mo can pull up the current status of your purchase orders without you needing to navigate away from your plan.

Example Prompt
What Mo Will Do

What's the status of my open POs?

Returns a summary of all open purchase orders, including supplier, expected arrival date, and quantities in transit.

Has PO [number] been confirmed by the supplier?

Checks the confirmation status of a specific PO.

Which POs are arriving this week?

Filters your open orders by expected arrival window.

Are there any overdue POs?

Surfaces orders that have passed their expected arrival date and have not yet been received.

What's still outstanding from [Supplier]?

Lists all open orders with a specific supplier, including quantities and expected dates.


Tips for Mass Editing with Mo

  • Be specific about scope — Tell Mo which SKUs, categories, or suppliers to include. Mo will apply changes as broadly or narrowly as you define.

  • Model before committing — Use phrases like "what would happen if…" to preview a change before it is saved.

  • Chain your edits — Mo retains context across your conversation within the session. Ask for a list of at-risk SKUs, then ask Mo to adjust quantities for only those items.

  • Validate before submitting — Ask Mo to summarise all changes made in the session before you finalise the plan.


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