Data intelligence for freelancers
SKV FR Lucet analyzes your income flows and suggests ways to allocate your surplus capital, mission after mission. The algorithm acts as an analysis co-pilot: the final decision always remains yours.
Illustrative overview — monthly distribution of surplus
Schematic example of visualization; the actual data of an account is specific to each mission profile.
The observation
Between two contracts, the available cash flow varies greatly, and this irregularity complicates any saving or investment decision. Placing a surplus at the wrong time, or leaving it inactive for too long, has a real cost over time.
SKV FR Lucet builds a forecast model based on your past collections and your known deadlines. The system identifies periods where a portion of your capital can be allocated without weakening your operational cash flow, then proposes an adjustable distribution.
The objective is not to replace your professional judgment, but to secure it with quantified and updated benchmarks.
The method
Each module addresses a distinct dimension of your situation: flow monitoring, risk exposure and distribution of available capital. The results are recalculated with each new incoming data.
Your collections, pending invoices and recurring charges are consolidated in a single dashboard, updated with each movement to reflect your actual cash flow.
The system assesses the volatility of your income over several months and adjusts the recommended level of prudence before any allocation proposal.
Once the risk has been calibrated, the engine suggests a distribution between security reserve and optimizable capital, which you can validate, modify or refuse.
Community Verification
Trust cannot be decreed: it is verified. Each allocation decision executed on the platform is recorded in a log accessible to users, with its date, its risk context and its observed result.
Example of a tracked series — internal reference index
Illustration of the tracking format; the values displayed publicly on the actual log vary between user cohorts.
Getting started
The integration remains progressive: no data is used before your explicit validation at each stage.
You connect your activity records or enter them manually. The system establishes an initial map of your revenue cycles.
The model adjusts its risk parameters to your actual history and cash flow horizon, before any numerical suggestion.
Each proposed allocation is submitted to you for validation. You retain the option to adjust or decline any recommendation.
Frequently asked questions
Transmitted data is encrypted during transfer and storage. Access to account information is limited to functions strictly necessary for calculating recommendations.
You can request deletion of your activity history. Data already anonymized in the public performance log is not linked to your identity.
No. The model provides recommendations based on past data and a calculated risk profile, but no future results are guaranteed. The public journal documents observed results, not promises.
No. Each allocation remains subject to your validation before execution. The role of the model is to inform your decision, not to replace it.
View the public performance log and evaluate the suitability of the model for yourself before implementing it on your account.
Contact the teamNo contractual commitment is required to consult the log or test the calibration simulation.