Retail forecasting that drives margin growth

Retailers today face a dynamic landscape where consumer behaviors shift rapidly, and external factors like economic fluctuations and supply chain disruptions add layers of complexity. Traditional forecasting methods, relying heavily on historical data, often fall short in providing the agility needed to respond to these changes.

This can lead to:

Overstocking or stockouts due to inaccurate demand predictions
Inefficient inventory placement across stores and DCs
Missed opportunities in pricing and promotions
Reduced customer satisfaction from product unavailability

Invent.ai’s forecasting solution offers precise, granular forecasts that boost efficiency, reduce stockouts and keep your customers satisfied.

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Invent.ai’s forecasting solution leverages advanced AI-decisioning to transform raw data into actionable insights

By incorporating multi-agentic AI, hedge-fund mathematics and probabilistic analyses, our platform uncovers patterns, predicts demand with precision and dynamically adapts strategies. Whether optimizing inventory, fine-tuning lifecycle pricing or enabling automatic planning decisions, our solutions transform raw data into actionable intelligence—helping you stay ahead with confidence in all stores and distribution centers. Our platform enables retailers to:

Forecasting - leverage advanced AI capabilities

Forecasting-Gain regional demand insights

Forecasting-implement fulfillment-driven planning

Achieve granular forecasting accuracy

Make precise demand forecasts at the lowest levels necessary to enable better and more effective assortment decisions.

Leverage advanced AI capabilities

Utilize explainable AI and adaptive algorithms to ensure transparent, reliable and data-driven assortment planning.

Gain regional demand insights

Acquire localized forecasting insights based on zip codes or store catchment areas to align assortments with regional preferences.

Implement fulfillment-driven planning

Deliver optimized inventory placement by integrating demand sensing with fulfillment-focused forecasting.

Why choose invent.ai’s forecasting solution?

Achieving precise, granular forecasts has never been simpler. With invent.ai’s demand forecasting for inventory planning, retailers harness advanced AI and demand sensing to anticipate customer needs, optimize inventory placement and enhance fulfillment performance.

Whether at the regional or store level, our data-driven planning boosts efficiency, reduces stockouts and keeps customers satisfied.

Our demand forecasting:

Increases availability and fulfillment - Reduce lost sales by enhancing product availability and leveraging diverse fulfillment options.
Provides the best customer experience in store - Use optimal assortment to get the right product in the right place at the right time.
Puts comprehensive analysis to work - Leverage explainable AI to predict demand, speed up analysis and reveal cross-channel behavior.
Offers accurate and adaptive forecasting - Proactively adapt to changing demand patterns using internal and external data sources.
Reaps regional and return insights - Forecast at the zip code or store level to align assortments with local preferences.
Uses explainable AI - Gain deeper understanding of forecast drivers using advanced machine learning algorithms based on historical sales data.

Why choose invent.ai forecasting solution

The science behind it

To deliver exceptional shopping experiences, invent.ai uses intelligent analysis and AI to forecast customer behavior with precision—across all locations.

Our AI-powered forecasting solution predicts future demand, enabling accurate demand planning and optimal inventory placement. This enhances fulfillment performance and boosts customer satisfaction.

An intuitive dashboard lets you dive into forecast details, giving you clear visibility into what’s ahead—so you can plan with confidence.

Deep insights, accurate forecasting

Forecasting relies on a vast network of internal and external data sources. Invent.ai leverages more than 300 key features to power SKU-Store-Day-level forecasting, tailored to your omnichannel pricing and inventory challenges. Key forecasting inputs include:

Inventory history & incoming stock
Markdowns & promotions
Store traffic & category sales trends
Repeat orders & initial pricing
Item / Store seasonality
Halo effect
Cannibalization effect & competitor pricing
Lost revenue due to out of stocks
Expiry date tracking (EQL)
Local weather conditions
Broken assortment impact
Sales & order history

Forecasting and pricing

Use forecast-driven pricing to anticipate demand, grow profit dollars and stay ahead of market shifts. Invent.ai’s AI-powered pricing solution combines demand sensing, forecast enrichment and elasticity analysis to guide more profitable, responsive pricing strategies across the full product lifecycle.

Price elasticity modeling

Measure how demand responds to price changes—cleaned for seasonality, promotions and inventory—to identify optimal price points by SKU.

Forecast-based pricing optimization

Evaluate millions of pricing paths to align with your strategy and maximize profit dollar and revenue.

Dynamic strategy adjustment

Adapt to changing conditions—weather, trends, events—while accounting for inventory levels and product affinities.

Attribute-level pricing insights

Tailor pricing by style, color, brand, designer, location and more for precision at every level.

Real-time visibility

Move beyond static rules like weeks-of-cover. Our AI continuously refines timing and frequency of price changes based on current forecasts and elasticity data.

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FAQ

Understanding forecasting in retail

What is forecasting in retail?

Forecasting converts historical data and real-time signals into automated decisions, delivering granular demand forecasting at the SKU–Store–Day level. With invent.ai’s forecasting solution, retailers can improve inventory management and inventory optimization, sharpen retail planning and product assortment, and boost forecast accuracy across stores and distribution centers.

How does demand and sales forecasting support retail planning and pricing decisions?

Using machine learning and predictive analytics, the AI-Decisioning Platform produces precise demand forecasting and sales forecasting. These retail forecasts inform retail planning and drive pricing and promotions decisions, aligning product assortment with expected demand and improving margin economics.

How does forecasting support inventory management and inventory optimization across stores and distribution centers?

Forecasts power optimal stock levels and placements, enabling inventory optimization and stronger inventory management. The system supports replenishment decisions and demand sensing to reduce stockouts and overstock while boosting service levels.

What role do machine learning and predictive analytics play?

Machine learning and predictive analytics power the models, blending historical data with current signals to forecast customer demand across locations. This unlocks cross-channel patterns and informs merchandising and assortment decisions. Our analytics background means we are ahead of the learning curve and are rooted in true AI, not just an AI wrapper.

How does our forecasting solution deliver local-level insights to optimize product assortment?

By forecasting at the ZIP code or store catchment level, our AI-Decisioning Platform aligns product assortment with local demand, improving availability and shopper satisfaction.

How does forecasting inform business decisions and support a resilient supply chain, while considering consumer behavior?

Forecasting in retail provides precise signals about customer demand and external factors, guiding strategic business decisions and strengthening retail supply chain resilience. It also accounts for consumer behavior to optimize pricing, promotions and inventory at the local and regional levels.

What capabilities drive pricing and forecasting accuracy?

Key capabilities include POS-connected time series analysis to capture trends and seasonality, external data sources, and ongoing feedback and predictive analytics across the SKU–Store–Day planning. These capabilities improve forecast accuracy while supporting margin-protective pricing and timely promotions. Our advanced history puts our full AI functionality at your fingertips to reduce confusion and grow revenue.

Forecasting that drives better planning, inventory and pricing