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Determine sales trends by context

Christmas Holidays, Black Friday, special sales, our highly trained predictive models will help you in your decision making process for all the promotional activities of the year.

  • Control your HR costs
  • Improve customer satisfaction
  • Reduce your out-of-stock in POS, drive and e-commerce
  • Control your storage costs
  • Optimize the freshness of your products
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Sales Forecasting: Case Study

Predicting sales with machine learning is the key to a successful customer experience. Find out the steps of setting up a sales forecast and the estimated ROI in mass distribution.

Deploying an artificial intelligence solution to improve sales forecasting allows you to anticipate your customers' buying behavior more accurately. By forecasting sales more efficiently, you ensure the availability of products in store to cover all your customers' replenishment needs. In this way, you systematically create a satisfying customer experience in your store.

Thanks to its business expertise, Verteego takes into account the constraints of each pole of the production and distribution chain. Saving time, increasing accuracy and increasing ROI, find in this case study, the steps of implementation of a promotional sales forecasting solution for a major retailer.

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Sales forecasting for your efficiency

Use the predictive power of the machine learning to predict your sales. Your data is valuable and can help you anticipate your actions from production to distribution. Artificial intelligence allows you to be more efficient when processing your data and free your teams from time-consuming tasks. Improve your responsiveness when making strategic decisions with Verteego's experience in sales forecasting optimization.

Would you like to evaluate the ROI before you start ?

Our evaluation methodology will enable you to quantify Verteego's contribution to your business.

1

Evaluation

We evaluate your current data and processes and define potential use cases with you.

2

Study

We will provide you with a study that will explain the impact of machine learning and the most promising AI use cases.

3

Demonstration

By comparing your historical data to the predictions and simulations generated by Verteego, we test your solution on a real-world use case.

Sales Forecasting and Cash Flow Optimization: Retail Case Study

To effectively manage cash flow, you need to anticipate incoming financial flows, particularly sales in physical stores or e-commerce. The strong fluctuation of demand can sometimes destabilize certain traditional forecasting models to the point of making them inaccurate.

The ability of retail companies to accurately predict demand is challenged by the context in which sales take place, such as during the lockdown implemented in the fight against COVID 19. To what extent can retail players rely on traditional statistical tools/methods in a volatile context? What tools do they have at their disposal to anticipate fluctuations in demand linked to the fact that travelers no longer go to the point of sale?

An international retailer approached Verteego to determine the relevance of using machine learning to predict cash flows in its business. The challenge was to predict cash inflows, and more specifically sales and payment patterns, over a 12-month rolling period in the company's 50 points of sale in an airport in Switzerland.

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Machine learning and sales forecasting

Why is machine learning an indispensable technology in sales forecasting? How and why should it be implemented in a sales strategy?

Forecasting methods have been strongly disrupted in recent years with the advent of machine learning and intelligent predictive models to address many business issues. It is now easier to optimize strategic flows thanks to the power of artificial intelligence. Many leading companies in their market have understood this and have decided, thanks to this new precision tool, to take the road to perfect omnicanality.

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Sales forecast and COVID-19.

Download the replay.

How to improve the sales accuracy during the Covid-19 phase? uses cases and traditional methods. The learning machine in times of sanitary crisis.

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Want to know more about what Verteego can bring to your sales forecasts?

Anticipate sales volume with Verteego's predictive models

Verteego's predictive models are now used in promotional and permanent sales forecasts over the quarter or year. There are several advantages to choosing these AI solutions to support your company's decision-making process.

Reduced risk of stock-outs

Thanks to Verteego's artificial intelligence, it is possible to anticipate purchasing trends and consequently reduce stock-outs. To do this, probability calculations are performed on each model designed with the help of algorithms. You can then estimate their efficiency coefficient and adopt a better sales plan.

This forecasting method allows you to quickly process a large volume of variables. It also provides you with precise answers concerning the viability of the client's business over the next few years.

Control of storage and logistics costs

The storage of products for sale has a cost, and this cost must be taken into consideration in order to optimize the company's turnover.

Verteego's AI ensures a perfect control of the storage costs each year, but also those of the logistics. Indeed, important logistic means are used for the conservation of products. These are used in the calculation of the company's expenses and its viability coefficient. They can be optimized with the training of Verteego's predictive models.

Optimization of the freshness of the products and the end of waste

Ensuring that fresh products are available in each outlet helps to optimize sales volumes over the quarter or year. Customers are more reassured about the quality of the food and products purchased. Also, estimating the rate of sale helps reduce food waste related to not selling items until the expiration date.

Better customer satisfaction

Using artificial intelligence to optimize pricing and sales forecasting ensures a quick turnaround of inventory. On average, consumers are more satisfied when they find the product they are looking for in your store at an optimal price. Also, CRM's choice of the ideal time to launch promotional sales contributes to the satisfaction of each customer.

A relief for forecasting teams

Using Verteego's predictive models to calculate future sales greatly reduces the work your forecasting team will have to do. Your forecasting team will only have to insert the information that the machine needs to solve each equation.

With this forecasting method, your company's human resources can be used for other purposes. For example, the staff can participate in training or brainstorming sessions to increase the company's turnover.

Improve sales forecasting and product availability in stores

Anticipating consumer buying behavior can be done by solving a multivariate equation using Verteego's AI. This method allows to adjust, with a better accuracy, the supply of stocks in the different points of sale and to increase the turnover of a company.

Machine learning for sales forecasting

Machine learning is the foundation of artificial intelligence. Several CRMs and e-commerce giants have used Verteego's AI technology to improve their decision making and sales.

Sales forecasting techniques are now automated within retail companies. This ensures that your sales target is met and your business runs smoothly for the next few years.

Whether it is for promotional sales or permanent sales, it is easier thanks to machine learning to predict the rate of sold out stocks. These probability calculations are also feasible in case of a global crisis such as the COVID-19 epidemic.

The effectiveness of Verteego's predictive methods for the design of a marketing plan is therefore no longer in doubt. Artificial intelligence is indeed able to anticipate purchasing behavior in all circumstances and to help forecasting teams in their calculations.

Better supplied points of sale with Verteego's AI

Defining the amount of inventory allocated to each store can be a daunting task. However, Verteego's predictive models help companies in supplying both physical and virtual stores. This reduces the risk of unsold products and stock-outs.

Artificial intelligence is particularly effective in simultaneously anticipating and optimizing sales figures. To do this, the machine performs a thorough analysis of internal and external data using sophisticated techniques.

Also, consumer browsing information is used to determine which product will be most in demand. Replenishments at the point of sale are then made according to the probability of purchase of the items.

Optimize sales forecasting by industry

The predictive models designed by Verteego's team can be used in several industries to anticipate sales volumes.

Mass distribution

Accurate sales forecasting is a real asset in the mass distribution industry. Using Verteego's predictive methods will help your company limit out-of-stocks, optimize pricing and improve merchandising.

Luxury and fashion

Artificial intelligence applied to the sale of luxury goods allows to anticipate with more precision the sales volumes. It would then be wise to employ the best predictive model to improve promotional pricing. This will allow you to increase traffic at each point of sale and reach your sales objectives.

Pharmaceutical industry

Many pharmaceutical companies use Verteego's predictive methods to achieve accurate demand modeling. This also works to reduce out-of-stock situations.

Catering

The machine learning tool developed by Verteego allows companies in the food service industry to study the preferences of their customers. This allows them to optimize their assortment and their commercial strategy over a relatively long period of time. They can also choose the best timing for promotional operations.

Insurance

Improved decision making in the insurance industry has become a reality thanks to machine learning. Now, solutions based on this technology can accurately predict sales in the financial services industry. Similarly, the average delighted customer is growing over time.

Specialized retail

The use of Verteego's predictive models in the specialized retail sector has enabled several companies to optimize their inventory management. These solutions support you in refining prices, choosing the right assortment and supplying the points of sale.

Consumer goods

Sales forecasting is fully automated with AI solutions designed by Verteego. Excess inventory and unsold items in the consumer goods industry are now reduced. It also becomes easier for retail companies to optimize their promotional operations and marketing plan.

Tourism and events

Verteego provides companies specialized in tourism and events with an AI platform based on machine learning. It will allow them to accurately predict traffic peaks and optimize pricing. This is to improve their business strategy to increase ticket sales.

Pharmacies

Take advantage of Verteego's predictive models for pharmacy purchasing management. These solutions are an effective way to reduce out-of-stocks and optimize the merchandising of your drug products.

Industries

Optimizing manufacturing flows in industries is becoming a reality thanks to predictive models generated by companies like Verteego. This makes it easier for companies to perfect the distribution of their products and to evaluate the buying trend. Also, resources are better streamlined in manufacturing companies in order to reach their goals faster.