OPPI

OPPI is a hospitality operations platform that links demand forecasts with labour, inventory and venue procedures. It is best suited to operators who want forecasts to inform day-to-day decisions while keeping approval of changes in human hands. Its broad planning scope is promising, but beta availability and unfinished integrations make it a less certain fit for venues that need a mature, fully connected system now.

Overview

OPPI models a venue’s trading history alongside weather, local events, road traffic and calendars, then recalculates demand every 15 minutes. It supports sales, covers or order, inventory and staffing forecasts, with real-time data inputs and multi-location support. The frequent refresh and range of forecast types give operators several planning signals in one platform; the practical value depends on whether its connections cover the systems a venue already uses.

Forecasting sits alongside labour planning, inventory and reordering, task management, compliance, and venue SOPs and checklists. OPPI proposes actions for approval and says connected systems do not change without that approval. This is a sensible control for consequential operational changes, though it keeps a person in the action loop rather than making the platform fully autonomous.

Key features

Forecasts connected to operating work

By pairing demand estimates with staffing and inventory forecasts, OPPI is aimed at venues that want planning to extend beyond a sales projection. Tasks, checklists and SOPs add a route from plans to daily work. Venues seeking only a standalone forecasting tool may find this wider operations focus unnecessary.

Integrations and safeguards

Connected integrations include Square, Lightspeed Restaurant K-Series, Deputy, Tanda timesheets, Google Drive, Notion and OPPI Tether. Toast, Clover and TouchBistro are in build; accounting integrations are designed but not shipped, and Tanda roster and staff sync remain in build. These gaps matter to operators whose workflows depend on those connections.

The security page states that data is encrypted at rest with AES-256 and in transit with TLS 1.3, and that venue data is logically isolated. The primary database is hosted in Singapore on AWS ap-southeast-1; application hosting and AI processing may use additional regions. AI tasks may be routed to OpenAI, Anthropic, Google and Perplexity under data processing agreements, and the maker says venue data is not used to train provider models. Requested deletion, including backups, is completed within 30 days. GDPR and APP compliance are listed; ISO 27001 and SOC 2 Type II are planned.

Pricing

Early access costs nothing, with no payment or contract. It includes sales, covers or order, inventory and staffing forecasts, real-time data inputs and multi-location support. That removes a financial commitment for venues assessing the product, but public release is pending and OPPI remains in beta with a waitlist and design partner applications. There is no paid tier to compare; onboarding is self-serve, with setup help available on request.

Platforms

OPPI supports web and API access. The API may suit venues connecting software programmatically, while the web platform offers a direct interface; no mobile platform is stated.

Who it's for

OPPI is built for hospitality venues, and one venue is enough to get started. It is a stronger fit for operators looking to connect forecasting with labour, inventory and compliance workflows than for buyers who need established accounting links or complete roster and staff synchronisation. Operators should also be comfortable evaluating a beta product with public release pending.

Pros and cons

• Pro: Forecasts span sales, covers or orders, inventory and staffing, with demand recalculated every 15 minutes using venue and local-condition signals.
• Pro: Approval controls leave consequential changes with the operator, while operational tools extend beyond forecasting into tasks, checklists and SOPs.
• Pro: The Early access plan costs nothing and carries no payment or contract.
• Con: Beta status, a waitlist and pending public release make current access less predictable than a generally released product.
• Con: Accounting integrations are not shipped, and Toast, Clover, TouchBistro and Tanda roster and staff sync are still in build.
• Con: Application hosting and AI processing may use regions beyond the Singapore primary database, a consideration for venues with strict data-location requirements.

Alternatives

Restaurant Demand Forecasting Software is a useful category list for comparing forecasting options across the restaurant market.

Choose Pourcast Operations if venue search and market discovery matter more than an integrated operations suite: its free plan includes AI Analyst at 10 per month, while Plus costs $29 a month and adds claiming and monitoring venues.

PreciTaste Demand Forecasting is another paid demand-forecasting option, with Android and iOS platforms.

Maya by Inputly is a paid alternative with a broader platform range, including mobile, desktop, web and API; its listed Gold coaching and salon plans each cost $199 a month, with 600 customer interactions per month across all channels on Coaching — Gold.

Orkeneo is a paid web-based alternative.

Choose 5-Out if a paid web forecasting option priced per location suits your operation: its plan is $100 a month per location.

Fourth Inventory is a paid API and web option with custom pricing by demo request.

Fullkitch offers a paid web plan with custom pricing and no published tiers.

Fullsoon is a paid alternative with custom pricing.

Verdict

Choose OPPI if you want one hospitality platform to connect frequently refreshed demand forecasts with staffing, inventory and operating procedures, and you want approval before connected systems change. Its free Early access plan makes evaluation low-commitment, but beta access and incomplete integrations are substantial reasons to look elsewhere if your venue needs dependable availability or established accounting and roster connections today.