- Type
- not stated
- Format
- Tabular per-station per-product daily price/demand series plus structured causal-explanation records (factor, effect size, interaction direction, conditional dependence) — delivered on-premise inside the retailer's own infrastructure rather than as a hosted feed
- Volume
- Modest but dense: order 10^4-10^6 rows (est.: tens of stations up to a few hundred per network × 8 product lines × daily recommendation/outcome records over the operating period, each row carrying a multi-factor causal explanation far richer per record than a price scrape)
- Users
- Very small: order 5-25 enterprise fuel-network accounts (inferred from a 20-person Berlin company, an on-premise deployment model, and a cited pilot at a single 4-station Italian retailer — early commercial rollout rather than a mass install base)
- History
- 3 years
- Update frequency
- not stated
- Growth
- Active / early-stage (a 2025-period implementation study is published as the flagship proof point, the product page and named algorithm suite are current, and the company is recruiting customers via demo requests — a pilot-to-first-production rollout posture at ~20 headcount, not a mature or declining base)
- Launched
- ~2023-2025 (est. — the pricing product cites an implementation study run during the 2025 period at an Italian fuel retailer, and the site assets/algorithm branding indicate a recent commercial launch rather than an established product)
- Delivery
- not stated
- Entity mapping
- not stated
- Sample
- not stated
- Point-in-time
- not stated
- Licence
- not stated