AWARD-WINNING AI SOFTWARE

Forecasting & decomp software

Our solutions: Game-changing features

Highly granular & accurate AI forecasting

Our solution uses proprietary machine learning models to predict consumer demand with unmatched precision, adapting in real-time to changes in market conditions, seasonal trends, and competitive activities. This goes beyond traditional forecasting by accounting for external factors like weather patterns, regional events, and social media sentiment to enhance forecast accuracy.

Dynamic decomposition of drivers

Find out what is dragging your demand at every level and quantify those effects. Factors like macroeconomics, pricing, distribution, innovation, competitors, shopper behaviors, promotions, and many more are displayed in terms of their impact to your projections.

Automated data integration & cleansing

Our solution integrates seamlessly with existing data sources, harmonizing inputs from sales, inventory systems, and third-party data providers. It uses AI-driven data cleansing to correct anomalies and fill in data gaps, ensuring forecasts are always based on the most accurate and complete information.

Integrated business planning

In addition to the system continuously updating as new data flows in, other teams can incorporate their plans into the platform for a centralized forecast. This real-time adaptability ensures that companies can pivot quickly, minimizing lost sales opportunities and excess inventory.

Value created: specific metrics & use cases

Increased forecast accuracy by 25%

Brands that adopted our solution saw a significant improvement in forecast accuracy, reducing forecast errors by up to 25%, leading to better inventory management and fewer stockouts.

Over $35M in incremental sales achieved through stronger and more granular negotiation on distribution, pricing, innovation, competitive effects, and shopper behaviors.

By leveraging dynamic scenario planning, brands optimized their account-specific strategies. This result in a 40% increase in JBP ROI by aligning on what will happen, where it will happen, and breaking down the ‘why.

Automated real-time forecast updates enabled brands to adjust their production schedules within hours rather than days, minimizing lost sales due to demand surges.

Capturing the nuance of the consumer brand sector

Addressing seasonality & regional variations:

Optimize inventory and product mix by forecasting seasonal and regional demand shifts, driving higher sales during peak periods.

Adapting to promotional sensitivities:

Leverage scenario planning to forecast promo impact and align with category cycles, boosting sell-through and maximizing promotional ROI.

Handling data fragmentation & integration:

Unify fragmented inputs from ERP, retailers, and providers into a single forecast model to reduce discrepancies and enhance planning accuracy.

Flexibility for internal processes:

Integrate without disrupting existing systems, enhancing forecast accuracy and reducing manual work while preserving internal workflows.

Category-specific adaptations:

Align forecasts with category dynamics using short-term or long-term models to improve agility in fast movers and efficiency in slow movers.

By deeply understanding the unique challenges of the consumer brands sector, our Forecasting Solution empowers companies to optimize inventory, reduce waste, and maximize profitability through data-driven, precise forecasting.

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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 BCG, RELEX, Circana, 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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