Re-tender predictions from contract ends and award cadence — accuracy graded nightly against reality — plus AI win probability with reasoning on every deal.
Join WaitlistPrediction is cheap; verification is rare. SalesDots forecasts when buyers will re-procure and how likely each deal is to close — and then grades its own predictions against what actually happens, publishing the result. You always know how good the numbers are, because the numbers say so themselves.
Every prediction shows why it exists: a contract end date read from the notice, or the buyer's historical award cadence. No mystery forecasts — you can inspect the reasoning behind each date.
Each deal carries an AI win probability with its reasoning and contributing factors — and the previous value, so you see the trend, not just a snapshot. When there's no evidence, there's no number.
Predictions are checked nightly against published reality, and hit rates are calibrated by segment. The accuracy stats on our site come from this pipeline — live, not from a press release.
Predicted procurements with confidence, time window, and basis — filterable by country, category, horizon, and minimum confidence.
Predictions carry calibrated, segment-level confidence — a claimed likelihood means what it says, because it's measured against outcomes.
For any tracked company: upcoming predicted procurements and contract expiries, directly on the account.
AI-generated probability with reasoning, factors, and the previous value for trend — refusing to fabricate when evidence is missing.
Each deal's assembled intelligence includes risk factors and prioritized actions tied to what the data actually shows.
Generate concrete tasks from a deal's qualification gaps on demand — strategy turned into a to-do list.
Contract durations, end dates, and award history are extracted from public procurement at scale.
Re-procurement windows are forecast from contract ends or award cadence; deals get AI win probabilities from their evidence.
Predictions are compared to what was actually published; hit rates recalibrate and flow to the product — and to our public stats.
Two things: when a buyer will re-procure (from contract end dates and historical award cadence in public procurement data) and how likely each of your deals is to close (AI win probability from the deal's evidence). Both come with their reasoning attached.
Because they're graded. Every night, predictions are compared against what was actually published, and confidence is recalibrated by segment. The hit rates on our website come straight from this pipeline — they update themselves, and a hit only counts for the same subject, not a lookalike.
Each one shows its basis: either a contract end date read from the notice text, or the buyer's historical cadence — the median interval between past awards for that buyer and category. You can see which, per prediction.
No — honestly. We predict procurement events and per-deal win probability; we don't produce quota-attainment or time-series revenue forecasts. Pipeline analytics live in the dashboards, based on your actual deal data.
Nothing is invented. A deal without evidence shows no win probability rather than a fabricated one, and predictions below the confidence threshold stay out of your feed unless you lower the filter.
Works best when combined with these modules
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