Number of Seats/Users: BaggageAI offers discounts based on the number of users or seats. A higher volume typically leads to a better discount structure, especially for enterprise-level usage.

Commitment to a Long-Term Contract: Discounts are often provided to companies that commit to using the service for a longer period (e.g., 1-year or 3-year contracts). A longer commitment shows BaggageAI that the company is serious and willing to invest in the platform long-term.

No Active Discounts: Companies that are not already receiving other active discounts may have a better chance of qualifying for additional discounts from BaggageAI. BaggageAI reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: BaggageAI offers discounts if you agree to a minimum amount of usage or transaction volume. This could be based on data storage, transactions, or other metrics tied to how much you will use the platform.

Enterprise-Level Negotiation: Companies that qualify as “enterprise” due to their size or complexity (e.g., having large teams, multiple departments, or geographical presence) may be eligible for additional discounts from BaggageAI. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: BaggageAI often offers discounts if you renew early or prepay for the entire contract period. This is a common approach to securing a lower price.

Here at Spendbase our internal data shows that BaggageAI is seen as a strong, efficiency-focused security solution, especially for airports and high-volume checkpoints.

From what Spendbase clients share, the main perceived strengths are:

• High-speed threat detection in real time
• Better accuracy in spotting forbidden objects
• Noticeable reduction in manual errors and re-checks
• Smoother baggage flow and less bottleneck at security

Clients consistently highlight that BaggageAI helps them:

• Automate critical parts of baggage handling
• Optimize workflows between scanning, sorting, and clearing
• Improve throughput during peak hours
• Support security teams with more reliable detection, not replace them

Typical positive themes we see in feedback:

• “Precision and reliability” of detection from X-ray scanners
• “Robust & quick algorithms” that keep up with heavy traffic
• Better visibility and control over the baggage screening process
• Improved passenger experience due to fewer delays

At the same time, our internal data shows a few recurring concerns:

• Initial setup can be time-consuming, especially in complex infrastructures
• Integration with legacy scanners and IT systems may require extra technical effort
• Some clients need additional training time for their security staff

To summarize the pattern we see from Spendbase clients:

• Overall satisfaction: generally high (around 4/5)
• Key value: speed + accuracy in threat detection, leading to operational savings
• Main trade-off: upfront implementation effort versus long-term efficiency gains

From a Spendbase discount perspective, this usually means:

• Best fit for organizations ready to invest in setup to gain long-term cost reduction in labor, errors, and delays
• Strong ROI when deployed at scale across multiple lanes or locations
• Worth negotiating bundled pricing or phased rollouts to balance budget and integration effort

If you’re considering BaggageAI, our data suggests it’s most impactful when you:

• Have clear security workflows defined
• Plan for a structured onboarding and training period
• Align IT, security, and operations teams early in the project