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Anyone working in the Food & Beverage sector knows that getting sales forecasts wrong is costly. Empty shelves, expired products, or poorly planned promotions erode margins and directly impact revenue. Unlike stable markets, the F&B sector is highly sensitive to weather, local calendar, consumer behavior, and competitor actions.
It is precisely to face these challenges that Paipe's Sales Forecast stands out. Typically, forecasting tools combine AI with internal data from your ERP, CRM, POS, and inventory. Paipe's differentiator is combining internal data with external variables such as temperature, regional events, commodity prices, and economic indicators, generating more accurate sales forecasts. For the Food & Beverage sector, this tool is crucial for defining strategies, anticipating demand, and avoiding losses, stockouts, or expired product inventory, considering all factors that impact consumption.
Success story: how our client transformed their sales forecast
Our client, which we will call Food Industry X for confidentiality reasons, was facing an average stockout of 8% in strategic SKUs, excess inventory in seasonal lines, and fragmented planning between sales, distribution, and production planning and control/logistics, without integration of external variables.
With the implementation of Paipe's Sales Forecast, it was possible to integrate internal and external data such as ERP, POS, orders, weather, regional events, promotional calendar, and economic indicators to generate reliable forecasts by SKU, channel, region, and portfolio. This allowed for more strategic decisions, reducing risks and protecting margins, without relying on guesswork.
Results obtained in the Food Industry X case study.
With the implementation of Paipe's Sales Forecast, the client was able to:
- Reduce average inventory and free up capital.
- Reduce stockouts in strategic SKUs, ensuring greater availability at the point of sale.
- Increase operating margin and protect profitability.
- Synchronize planning by cluster, channel, and portfolio, aligning salespeople, representatives, and distributors with reliable demand figures.
Practical applications of sales forecasting for Food & Beverages
Paipe's solution adapts to each link in the chain:
- Food Industry: Optimize production and purchasing by forecasting demand by SKU and channel.
- Beverage Manufacturers: They anticipate seasonal peaks and regional events, reducing disruptions in strategic campaigns.
- Food Retail: plans purchases and promotions based on data, avoiding product shortages or surpluses.
- Food Service: Adjusts input turnover by location, day, and shift, reducing waste and maintaining profitable operations.
All this with explainable forecasts that indicate the factors impacting demand, such as weather, promotions, media, or events, allowing for strategic decisions in real time.
Start making decisions with data and AI.
Paipe's sales forecasting for the Food & Beverage sector can be implemented rapidly in evolutionary phases: connecting internal data, integrating external information, validating the model by SKU, channel or store, and delivering actionable dashboards. In just a few weeks, your team will be planning proactively and reliably, reducing risks and increasing profitability.
Transform data into intelligent decisions and optimize your operation with the power of AI. Talk to our experts and discover how to apply sales forecasting for the Food & Beverage sector to your business with Sales Forecast.
