Logistics

The logistic sector faces increasing challenges under the dichotomy of rising demand under the constraints of heavy administrative processes. Artificial Intelligence (AI) drastically improves companies efficiency by reducing the time needed to process documents, automating tasks such as information extraction and structuration, and monitoring or optimising assets usage.

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What can AI do?

  • Document treatment automation
  • HS Code attribution
  • Assets optimisation
  • Fleet predictive maintenance
  • Path optimisation
  • Pricing optimisation
Let's find out together

Success stories

1

BACK OFFICE AUTOMATION

The logistics sector needs to treat a large number of documents everyday. Their diversity and number make it impossible to automate this task with traditional methods. An AI-based solution, on the other hand, automates the treatment of more than 90% of the volume of these documents.

>90%

Automation reached

2

HS-CODE ATTRIBUTION

Companies that manage imports and exports must provide a customs code which defines the tax rate of products. Today, these codes are automatically assigned by an AI algorithm, automating the processing of 70% of products with more than 99% accuracy

>70%

of products automatically processed

3

WAREHOUSE OPTIMISATION

Thanks to an AI system, our client is able to predict the sales volume of its products for the next few months with a great accuracy. Based on that, another AI optimizes the organisation of the warehouse in order to maximise efficiency. As a result, new orders are processed up to 20% faster. 


>20%

faster processing

4

SMART TEAM DISPATCHING

AI can decide where to send ressources such as teams of specialists, who are too scarce to cover a large number of sites. This decision is made on the basis of images (satellite, drones, quality control, etc.) in order to determine which situations require the presence of the team in priority.

+30%

Area coverage

Testimonial

Sagacify and DAS had a successful collaboration with as goal the automatic classification and routing of inbound emails. The results show powerful statistics on the process and saves a lot of time for our collaborators that can now focus on more impactful tasks.

Xavier de launois
COO at D.A.S

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