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MACHINE LEARNING IN LOGISTIC CHAINS

Patterns exist everywhere in nature, even in business processes. Computational intelligence techniques allow us to capture these patterns and transform the way we see things.

SELF-ADAPTABLE MODELS

Machine learning are techniques based on models that find patterns in data and are able to adjust by themselves with the sudden behavior change.

EXTERNAL FACTORS VIEW

Artificial intelligence models work best when there are many variables and in a dynamic environment. The more external factors are considered, the better the predictions.

STOCK OPTIMIZATION

In the dynamic environment of modern logistics chains, the machine learning techniques and models are the most advanced technology to ensure the optimization of stocks throughout the processes.

INDICATORS FOR MANAGEMENT

The machine learning TEVEC platform is integrated into logistics processes easily and practically. Follow the results of the models acting in the chain through dashboards and our analytics interface.

ACCURACY IN BUSINESS PROCESSES

The Tevec.AI Platform is a simple deployment tool that may be used with the business processes related to the logistics chain, providing predictability and greater responsiveness in a complex demand environment.

Our algorithms enable the accurate identification of behavior patterns of data series and factors that affect your customers, forecasting the future with high accuracy, including constant and seasonal sales, marketing campaigns and changes in consumer economic behavior.   

The system is offered in the cloud so anyone may connect and start using the benefit of sophisticated models in everyday supply chain problems.

TEVEC.AI PLATFORM

Solutions for efficiency gains throughout the logistics chain

IDEAL REPLENISHMENT PLANNING

Ideal replacement lots and product stocks for retail points of sale.

Results: Optimization of stock level, reduction of disruptions, process improvements throughout the supply chain.

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PERFECT ORDER
PLANNING

Ideal product replacement lots for display of planogram and execution of the trade marketing strategy of the industry.  

Results: The right product in the right place to meet consumer demands.

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DISTRIBUTION REQUIREMENTS PLANNING

Planning of supply and internal distribution of products on the CD’s.

Results: Optimization of products availability in the CD’s to serve the sales channels. Improvement in the service level and customer service.

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WHO USES IT

Fernando Vichi
Vice President

“The deployment of neural networks has provided the CRM Group with an opportunity to anticipate the demand variations, with savings at every link in the supply chain.  With TEVEC we have reached 99% of factory availability, 56% reduction of ruptures and 67% less inventory”

Xavier Serres Escoda
Brazil IS/IT HubDirector

“The restocking system was deployed in the support cell upon Danone’s request, enhancing Danone’s VMI with customers and partners and enabling its expansion. By using the platform, the operations team gained more productivity and quality of orders, allowing lower levels of disruption at the points of sale.”

TEVEC IN THE MEDIA

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