AI solution with results in under 30 days

We speed up implementation with a proof of concept (PoC) in just weeks.

Lower costs and faster deployment

We avoid building from scratch, drastically reducing time and implementation costs.

Empathy-Driven Approach

Unlike other software development firms, Crombie aligns technology with your company’s needs and goals

20 Years of Experience

We’ve been driving business growth for two decades through robust, scalable solutions.

Forecast for Businesses | Results in Under 30 Days

Why Forecast for Businesses Is a Game Changer

- 65 %

reduction in stockouts thanks to more accurate and dynamic forecasting

15 – 25 %

increase in operational ROI through AI-driven production and sourcing decisions

10 – 40 %

lower storage costs through inventory optimization and predictive management

Core Features of the AI Solution

Real-Time Sales and Demand Forecasting

Automatically generates dynamic predictions based on historical data, seasonality, promotions, and external factors such as weather, pricing, or economic context.

Inventory and Supply Chain Optimization

Prevents overstocking and stockouts by accurately forecasting future demand. Enhances the efficiency of production, shipping, and procurement planning.

ROI and Marketing Campaign Analysis

Evaluates the impact of marketing campaigns and promotions before launch, identifying which strategies deliver the highest return on investment.

Scenario Simulation

Anticipates the impact of pricing changes, ad spend, or product availability to support more informed decision-making.

Continuous Updates

The model continuously retrains with new data, improving forecast accuracy and adapting to real-time market shifts.

Integration with ERP, CRM, and BI Systems

Seamlessly connects to existing platforms to automate forecasting and centralize key business metrics.

Scalability and Industry Flexibility

Handles diverse data types and volumes, making it ideal for global enterprises, regional operations, or specific business units.

A Generative AI Solution Tailored to Your Company and Industry

Industry	Use Case	Challenges	What Does It Do?	Benefits
Ecommerce and retail	Omnichannel Sales Forecast	Difficulty predicting demand by channel (store, ecommerce, marketplaces).	Multisource AI models integrate POS, ecommerce, and ERP to predict demand in real time.	Better product availability Reduced stockouts and overstock Alignment of Supply Chain and Marketing
Consumer Goods	SKU-Level Production and Turnover Forecast	Complexity adjusting production to regional and seasonal variation.	Advanced ML Forecast combining historicals, promotions, and external data such as weather or holidays.	Production aligned with real demand Lower logistics costs Improved distribution efficiency
Manufacturing	Predictive Capacity Planning	Lack of visibility on future demand and supply times.	Intelligent Forecasting estimates future volumes and adjusts plant resources and schedules.	Reduced waste Better resource allocation Higher OEE and overall productivity
Finance and Insurance	Revenue and Customer Behavior Forecast	Macroeconomic volatility and sudden shifts in customer base.	Predictive models analyze consumption and historical behavior patterns.	More accurate projections Data-based investment and pricing decisions Retention of profitable customers
Energy and Utilities	Energy Consumption Forecast	Difficulty balancing supply and demand during unexpected peaks.	Predictive energy AI combines historical, climate variables, and consumption behavior.	Efficient resource use Lower operational costs Improved maintenance planning
Travel and Hospitality	Occupancy and Dynamic Pricing Forecast	Strong seasonality and changes in booking patterns.	Anticipates demand, optimal pricing, and occupancy levels by segment.	Increased revenue per room Balanced occupancy Better staff and service planning
Transportation and Logistics	Shipping and Route Forecast	Lack of anticipation for shipping peaks or supply chain disruptions.	AI estimates volumes, adjusts fleets, and optimizes routes in real time.	Lower transport costs Higher delivery performance - Cross-functional efficiency
Healthcare and Pharma	Forecast Critical Consumption and Inventory	Risk of medicine shortages or expirations.	Forecasts consumption based on region, season, and prevalent pathologies.	Guaranteed supply Reduced losses Improved healthcare service reliability

How is AI used to forecast demand?

AI analyzes historical data and behavior patterns to anticipate future demand. It helps predict sales, optimize inventories, and plan resources in real time with precision.

How can I forecast demand for my online retail store?

You can forecast demand for your online store by combining historical sales data, seasonality patterns, marketing campaigns, and external variables (such as holidays or pricing).

What is an example of a forecast?

An example of a forecast is predicting next month’s sales using AI. For instance, an online store can anticipate product demand based on past sales, seasonality, and promotions — optimizing inventory and avoiding stockouts.