Plan your yearly promotions with AI

Plan and forecast the annual plan directly on a timeline, built from historical results, this year's budget, and your guardrails.

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

Compare options before committing

Compare suggestions from your team or the retailer side by side. See the effect on financials before choosing your next move.

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

Evaluate with all metrics in one clear picture

View relevant sales metrics in one place. Move from the ROI matrix to the figures behind each promotion to understand what works.

AcilioNordvik FoodsPromotions / Analysis

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

SELECTED PROMOTION

ICA / Example campaign

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

Promotion Planning

Our focus today

Plan promotions, compare alternatives and evaluate what each promotion returned.

Assortment

Longer-term roadmap

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

Pricing

Longer-term roadmap

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

Why we start with promotions

20-25%

of gross sales spent on trade promotions

~66%

of promotions lose money

~76%

are run in Excel

Data & integrations

Connect your commercial world

We integrate into your systems, ensuring the product has all the relevant context.

Your questions, answered

How do the models and AI work together?

Statistical models estimate baselines, promotion effects and forecast outcomes. The AI assistant helps analyse results and propose changes using your workspace context. Your team reviews the assumptions 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.