Multi-Site Operations
One intelligent layer across every hectare and site.
Sera unifies data, reasoning, and protocols from multiple greenhouses into a single enterprise view—delivering consistent insights, automated actions, and centralized oversight so you scale with uniform performance, reduced variability, and dramatically lower coordination effort.
The challenge
Expanding to multiple sites multiplies complexity in commercial greenhouse operations—especially for tomatoes, peppers, or similar high-wire crops. Key scaling challenges include:
Fragmented data sources: Site 1 runs Priva, Site 2 Hoogendoorn, Site 3 logs in Excel and scouting sheets—performance reporting requires manually compiling exports from different systems.
Inconsistent execution: Best practices proven at your flagship facility take months to roll out to new locations; different teams interpret SOPs, thresholds, or crop strategies variably—leading to yield drifts, quality variability, higher pest pressure, or energy waste across facilities.
Oversight overload: CEOs, ops leads, or technical managers spend excessive time traveling, aggregating reports, or troubleshooting remote issues—delaying decisions and increasing labor costs without proportional output gains.
Scaling inefficiencies: Adding sites amplifies data overload and manual coordination for irrigation/fertigation protocols, IPM timing, energy management, or benchmarking (e.g., energy-per-kg across locations).
Risk amplification: Localized anomalies (vent lag, EC stacking, pest build-up) cascade faster without centralized detection; compliance, sustainability reporting, or investor updates become fragmented and time-intensive.
Labor and expertise strain: Junior teams at new sites lack senior-level rigor; tribal knowledge doesn't transfer easily—resulting in higher variability, preventable defects (BER, cracking), and slower onboarding.
Without a unified intelligence layer, multi-site growth dilutes margins, increases risk, and turns expansion into operational chaos rather than compounded performance.
How Sera helps
Sera acts as the central reasoning engine across all sites—ingesting data from disparate climate systems (Priva, Hoogendoorn, Ridder, etc.), sensors, irrigation logs, energy meters, scouting entries, and your enterprise-wide SOPs/knowledge base. It normalizes, correlates, and interprets everything in real time—delivering site-specific yet consistently applied insights, cross-site benchmarking, and automated orchestration tailored to your overall strategy.
Unified visibility
One platform connects to every system at every site—no custom dev or manual exports required.
Compare performance instantly: "Energy use per kg yield this month Site A vs. Site B tomatoes" or "Dry-back consistency propagation zones multi-site."
Benchmark facilities: Spot outliers automatically (e.g., "Sector unevenness 15% higher at Site C—likely shading asymmetry; projected annual savings if adjusted").
Enterprise-wide patterns: Daily briefs aggregate deviations, utilization, and risks—prioritized by business impact (e.g., "Top 3 enterprise risks: Whitefly escalation Site D, boiler short-cycling Site A").
Standardized operations
Your Knowledge Base ensures every site operates according to the same protocols, regardless of local climate systems, team experience, or site quirks.
Upload company-wide crop strategies, IPM thresholds, energy rules, fertigation recipes once—Sera enforces them uniformly.
Localized overrides allowed: "Suppress RH alerts in cold-corner Zone 3 Site B per site rule"—without breaking global consistency.
Reduced variability: Juniors and new sites inherit senior rigor; best practices roll out instantly, not over months.
Automated reporting and orchestration
Daily briefs for each facility + weekly cross-site comparisons—delivered automatically, no spreadsheet compilation needed.
Proactive multi-site alerts: High-priority only, routed intelligently (crop-impact to head growers, hardware to technical leads, cost spikes to ops/CEO).
Workflow automation: Threshold hit at any site → push SOP checklist + create task + escalate if unresolved (e.g., sustained EC rise → flush protocol + follow-up drain sample).
Remote diagnostics: Ask "Why heating lag at sunrise Site F Block 4?" → full root-cause with correlations and prevention steps—no immediate travel required.
The results
Predictable performance at scale: Uniform execution of your best protocols—tighter yields, quality consistency, and reduced defects across sites.
Faster, lower-risk expansion: Add facilities with built-in intelligence and consistency—fixed costs dilute quicker through reliable output and lower variability.
Reclaimed leadership time: Shift from aggregating reports and firefighting to strategic decisions (crop mix, capex, market expansion)—oversight drops dramatically.
Sharper margins enterprise-wide: Catch inefficiencies early (energy waste, input overuse, execution drift)—compound savings on OpEx while boosting output predictability.
Resilient, data-backed enterprise: Less dependence on individuals or site-specific tribal knowledge; full visibility into cross-site cause-effect drives better resource allocation and compliance.
You grow hectares intelligently—not just physically—turning multi-site operations into a true competitive advantage.
