AWARD-WINNING AI SOFTWARE

Trade promotion optimization

Our solutions: Game-changing features

AI-powered trade spend optimization

Our solution uses machine learning algorithms to analyze historical data, market trends, and consumer behavior, optimizing trade spend allocation for maximum returns. It dynamically adjusts budgets in real-time to ensure promotions align with consumer demand and market shifts.

Predictive trade analytics

The platform provides predictive insights by simulating various trade scenarios, allowing brands to forecast the impact of different strategies on sales, market share, and profitability. This empowers decision-makers to focus resources on the most effective trade activities.

Automated calendar & promo tactic optimization

The solution automates the allocation of trade budgets against an optimized calendar and set of promo tactic types across channels, products, and regions, optimizing each spend for the highest ROI. It includes real-time tracking to monitor performance and make adjustments as needed, reducing manual efforts and errors.

Localized strategy adaptation

Our software customizes trade strategies for specific regions, retailers, and store formats by leveraging localized data. This ensures trade activities resonate with local shopper preferences, driving better engagement and increasing conversion rates.

Value created: specific metrics & use cases

Boosted trade ROI by 20%

By optimizing trade spend allocation, brands saw a 20% increase in ROI, translating to an additional $3 million in revenue for a leading beverage company. This was achieved by reallocating funds to high-impact trade activities based on predictive analytics.

The solution enabled brands to cut underperforming trade activities, reducing wasteful spending by 25%. This resulted in cost savings of up to $2 million annually for a major food brand.

Automated trade planning reduced manual planning time by 60%, allowing teams to focus on strategic decisions rather than operational tasks.

By aligning trade strategies with localized shopper data, brands improved sell-through rates by 15%, particularly during peak promotional periods.

Capturing the nuance of the consumer brands sector

Adapting to category-specific trade dynamics:

Tailor trade strategies by category, optimizing loyalty promotions for personal care and impulse buys for snacks to maximize returns during key periods.

Retailer-specific constraints & collaboration:

Optimize trade strategies by integrating retailer-specific constraints, boosting promotional effectiveness while fostering stronger retailer relationships.

Localized market sensitivities:

Leverage localized insights to tailor trade strategies, boosting category sales by aligning promotions with regional shopper preferences and demographics.

Integrating fragmented data sources:

Harmonize fragmented data from multiple systems to streamline trade strategies and enhance forecast accuracy, improving performance by 30%.

Optimizing trade for new product introductions:

Use predictive analytics to optimize trade activities for new product launches, boosting sell-through rates and ensuring a strong market entry.

By leveraging a deep understanding of the complexities in the consumer goods sector, our Trade Optimization solution empowers brands to maximize trade effectiveness, reduce waste, and drive sustained growth through data-driven trade strategies.

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Our out-of-the-box solutions are fully customizable to fit your team’s workflows, brand goals, specific constraints, retailer needs, shopper behaviors, and strategic objectives.

Find out why Insite AI is chosen in RFPs over competitors like McKinsey, BCG, UpClear, TELUS / Exceedra, Tiger and Fractal.

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Our friendly and efficient team is here to discuss your ideas. No pressure, just solutions.

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Revenue under management
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Capital deployed
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5 year RFP win rate
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