Plan and adjust your promotions

Use AI insights on top of our statistical model to plan future promotions or adjust current ones

Simplified product view with demo data. Forecasts illustrate the ICA example

Compare scenarios before you decide

View the effect on financials for both your team and the retailer before choosing your next move

Simplified product view with demo data. Forecasts illustrate the ICA example

Evaluate all metrics in one place

Review relevant sales metrics across categories, promotions or mechanics: you choose the filter

ROI matrix

Illustrative demo data / ICA
Sales and margin paid back0.0×1.0×2.0×3.0×0.0×1.0×2.0×Sales ROI →Margin ROI →

Each dot is a promotion / Dashed lines mark 1.0× breakeven

TOTAL

Year to date

12Promotions
10Sales ROI above 1.0×
6Margin ROI above 1.0×
SELECTED PROMOTION

ICA / Example promotion

Understand the outcome behind the dot

Trade spend
SEK 100,000
Incremental sales
SEK 280,000
Incremental margin
SEK 170,000
Sales ROI
2.80×
Margin ROI
1.70×

Simplified product view with demo data. The ROI matrix uses illustrative values

Starting with promotions

Promotions

Product is live

Plan and adjust promotions, compare options, and evaluate returns

Assortment

In development

Bring product performance and retailer context together to shape the right range

Pricing

In development

Connect price, volume and margin to understand the commercial trade-offs

We start with the most inefficient spend item on the P&L

15-25%

of gross sales spent on trade promotions

~66%

of promotions lose money

~76%

are run in Excel

Data & integrations

Connect your commercial world: we help you integrate all your relevant data systems, ensuring your organization has the right context

FAQ

How do the models and AI work together?

Statistical models estimate baselines, promotion effects and forecast outcomes. The AI assistant helps analyse results and suggest changes using your workspace context. Your team reviews the estimates and financial effects before choosing a plan. Forecasts are estimates, not guaranteed results.

What data do we need to get started?

We review your sales and promotion history, product and retailer information, and relevant commercial inputs. The required coverage depends on the agreed use case.

Can we start from our spreadsheets?

Existing files and exports can be a starting point. We first review their structure and completeness, then agree how data will be delivered and refreshed.

Can we compare retailer proposals?

Comparing proposals from your team or the retailer is part of the promotion workflow. The demo shows how alternatives and their financial effects are presented side by side.

How do we evaluate a pilot?

Agree the scope, baseline and success measures together before starting. Review the results and the practical usefulness for your team before deciding on a wider rollout.

What are you focused on today?

We focus on promotion planning, comparison and evaluation. The scope available to your team is confirmed in the demo.