Data intelligence for SME managers
Sommelor Wealth transforms your available liquidity into measured return decisions, based on continuous predictive analysis. Each recommendation is based on community-verified results, published in a searchable performance log, not on commercial promises.
The observation
You manage your business with monthly tracking charts, as rates, inflation and market conditions change every week. Between two accounting closings, part of your liquidity remains dormant in low-yielding accounts, while monetary erosion reduces their real value. Manual analysis, no matter how rigorous, can no longer keep pace with short-term market volatility.
This gap creates decision-making blind spots: missed allocation windows, poorly calibrated risks, and a dependence on intuition rather than up-to-date data.
Dormant liquidity mechanically loses purchasing power, even when it remains nominally stable in a current account.
Without continuous monitoring, risk-controlled replacement opportunities appear and disappear without being exploited.
The time taken to compile and manually analyze data delays decision-making compared to the actual pace of the market.
The engine
A spreadsheet reflects a situation frozen on the date of its last update. Our engine continuously processes a volume of data far greater than manual analysis can absorb, to isolate an actionable signal from the daily noise of the markets.
The engine ingests available cash flows, macroeconomic indicators and market conditions, then updates its scenarios on an ongoing basis rather than at monthly intervals.
Schematic illustration of the filtering principle: the raw volatility observed on the market is compared to the signal retained by the engine before recommendation. Actual values are published in the performance log.
Proof by data
Rather than customer testimonials, Sommelor Wealth publishes its entire history of recommendations and their results. Each entry is time-stamped and remains viewable by any registered user, without distinction between favorable and unfavorable examples.
| Timestamp | Type of scenario | Published net return | Maximum accepted risk | Verification Status |
|---|---|---|---|---|
| Continuously updated | Short-term allocation | Visible in the newspaper | Defined before execution | Verifiable timestamp |
| Continuously updated | Medium-term allocation | Visible in the newspaper | Defined before execution | Verifiable timestamp |
The actual numerical values are updated live in the log accessible from your customer area and are not reproduced here in the form of a marketing average.
Each recommendation executed is recorded before even knowing its outcome, in order to avoid any retroactive selection of the examples presented.
Log entries are accessible to platform users, who can compare the recommended scenarios to the results actually obtained over time.
The process
Integration is designed for a busy manager: it does not replace your judgment, it feeds it with an analysis that you do not have the time to produce yourself.
You link your professional bank accounts and your existing accounting data, without changing your current management tools.
The engine generates several allocation scenarios, each accompanied by a return profile and an explicit risk level.
You examine the proposed scenarios and validate the execution. Artificial intelligence optimizes options; the final decision remains entirely human.
About the method
We designed Sommelor Wealth based on a simple constraint: an SME manager cannot verify a performance promise without data. The public newspaper is not a commercial argument added after the fact; it is the structure on which the entire platform is based.
This discipline also imposes a clear limit: the engine offers documented scenarios, but never executes a decision without your explicit validation.
Each month of unoptimized cash flow is a month of uncaptured potential return. The decision remains yours; the analysis can begin today.