
Inpulse
6.6#7 in restaurant demand forecasting softwareAndroidiOSWebAPI
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| Fact | Inpulse | Maya by Inputly |
|---|---|---|
| Data protection | Inpulse states that data is encrypted, protected with end-to-end encryption and hosted on European GDPR-compliant servers. | The security page states AES-256 encryption at rest, TLS 1.3 in transit, role-based access and multi-factor authentication for admin accounts. |
| Forecasting | Its forecasts use sales history, seasonality, weather, sporting events, religious holidays, strikes, and promotions. | Maya's machine-learning forecasts use sales history and account for calendar events, paydays, weather and local events. |
| Founded | Inpulse says it was founded in 2018. | Inputly’s About page states that it was founded in 2025. |
| Headquarters | Saint-Mandé, France | The About page does not state a headquarters location. |
| Integrations | The integrations directory covers POS, aggregators, suppliers, HACCP, accounting/BI and HR systems, including Pennylane, Tenzo, Combo, RHIS and Skello. | The site names Square, Toast, Lightspeed, SeroPOS and CSV as connection options for Maya. |
| Inventory | The inventory module supports multi-unit collaborative stocktaking, offline mobile work and barcode scanning. | Maya tracks ingredient stock, low-stock warnings, reorder recommendations and expiry by perishable lot. |
| Purpose | Inpulse provides multi-site restaurant groups with AI-powered tools to manage operations and margins. | Maya is an AI restaurant manager for inventory, recipes, purchasing, food cost, waste tracking, expiry alerts, and demand forecasting. |
Inpulse suits restaurant groups, bakeries, food kiosks and other foodservice businesses operating across multiple sites. It is relevant to teams coordinating purchasing, inventory and production across locations.
Maya suits restaurants seeking to connect inventory, recipes, purchasing, and demand forecasts. It may also suit multi-location businesses needing stock and food-cost oversight.