Demand Forecasting | Pecan AI

Demand Forecasting

Predict Demand Trends with Confidence – No Guesstimates Required

Stockouts, overstocks, surprise demand shifts – if you’re in charge of planning, you know the pain of inaccurate forecasts. Traditional demand forecasting often relies on spreadsheets, simplistic models, or last year’s trends, leaving you guessing and anxious about the future. Pecan offers a better way: AI-powered demand forecasting that delivers a forecast you can trust. It’s like having a supercharged crystal ball (minus the guesswork and mystique) that crunches your historical sales, inventory, and marketing data to predict what’s coming next. Pecan’s platform is simple and fast for your team to use, so you can improve accuracy without a lengthy data science project. Plan confidently for the next week, quarter, and year – using state-of-the-art machine learning to align inventory with demand, reduce waste, and capture every sales opportunity.

If you’re experiencing
Inaccurate Forecasts

It’s tough to predict demand swings. Over-forecast and you end up with excess inventory tying up capital; under-forecast and you face stockouts and missed sales. Even a small error in demand forecasting (high MAPE or bias) can hurt revenue and customer satisfaction.

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New Products & Market Shifts

When launching new products or facing rapid market changes, historical data alone might mislead. Traditional methods struggle with new product introductions (NPI) or sudden shifts (e.g. trends, seasonality changes, supply chain disruptions).

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Siloed, Granular Data & Limited Inputs

Demand needs to be forecasted at multiple levels – SKU, category, region, etc. – but manual processes make it nearly impossible to reconcile these levels consistently. Planners often lack a unified view, leading to fragmented planning.

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Resource-Intensive Process

Building and updating forecasts by hand or in basic tools is time-consuming. Analysts spend hours cleaning data and tweaking formulas, only to start over when conditions change. Small teams may not have dedicated data scientists to apply advanced methods.

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Lack of Confidence

With rough forecasts, stakeholders (from operations to finance) lose confidence in the numbers. This leads to buffer stock “just in case,” emergency rush orders, or cautious investments, all because the forecast isn’t seen as reliable.

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Pecan’s Demand Forecasting solution brings advanced machine learning to your planning process without the usual complexity. It automatically analyzes historical sales, inventory levels, promotions, and even external data to find patterns and signals that humans might miss.

The result is highly accurate, robust forecasts that reduce bias and error (MAPE) significantly. Pecan’s proprietary AI adapts seamlessly to your business: it can forecast across multiple hierarchy levels – from individual SKUs to product families to total category demand – ensuring consistency up and down the chain.

With Pecan you will have
Higher Forecast Accuracy

Achieve top-tier forecasting precision with AI models that minimize error and bias. Pecan’s approach has been shown to significantly lower MAPE and improve accuracy over traditional methods, so you can trust the numbers and base decisions on data, not hunches.

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Multi-Level Forecasting

Forecast demand at every business level – SKU, store, region, product line, or total. Pecan can help you ensure that predictions make sense across different aggregation levels. For example, if a category’s forecast increases, the SKU forecasts roll up to match that growth. In addition, Pecan combines sales data with promotions, seasonality, economic indicators, and more across all hierarchy levels for far more accurate predictions. This consistency gives you a complete picture, from granular detail to the big picture, without manual reconciliation.

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Adaptability to Change

Stay agile with forecasts that handle real-world changes. Train models to adapt to New Product Introductions (NPIs) and scenario changes – whether you’re adding a new item with little history or simulating a constrained supply vs. an unconstrained scenario. The model learns patterns from similar product launches or demand drivers, so new or volatile situations are accounted for intelligently.

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Clean, Reliable Data Insights

Ensure your forecasts aren’t thrown off by anomalies or data drifts. Pecan automatically detects outliers (e.g., one-time sales spikes or data errors) and adjusts for them. It also controls for gradual data drift, keeping your model stable over time. This means your forecast is based on signal, not noise – resulting in steadier, more reliable predictions even as markets fluctuate.

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Faster Planning & Decision Making

Generate forecasts in hours, not weeks. Pecan’s user-friendly platform lets your team load data and get forecasts quickly, freeing them from tedious spreadsheet work. With up-to-date predictions always at hand, you can respond faster – ordering inventory, moving stock, or running promotions at the right time. The speed and ease of Pecan’s solution translate to an agile planning process and reduced latency between insight and action.

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Worried about new products or unusual scenarios? Pecan handles NPI modeling and flexible demand scenarios with ease, so a new launch or a supply constraint won’t throw off your entire plan. The platform also employs patented anomaly detection and drift control to clean your data and keep forecasts steady even when raw data is messy (goodbye, outliers; hello, reliable trendline). Best of all, you don’t need to be a data scientist to use it – your existing analysts can set up forecasts via a friendly interface, and get results in days, not months. It’s a fast, affordable way to bring world-class forecasting to your team, empowering everyone to trust the plan and optimize inventory.

Want to say goodbye to stockouts and overstocks?

Book a demo to see how Pecan’s AI can supercharge your demand forecasting and keep your business steps ahead of demand.