Number of Seats/Users: Alhena AI 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 Alhena AI 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 Alhena AI. Alhena AI reserves discounts for new customers or those not currently under promotional pricing.

Volume or Usage Commitment: Alhena AI 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 Alhena AI. Such companies are often in a position to negotiate for better pricing.

Early Renewal or Prepayment: Alhena AI 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 Alhena AI (formerly Gleen) is performing very strongly for eCommerce teams across support and revenue outcomes.

From what our Spendbase clients share, a few clear patterns stand out:

1. Impact on revenue and AOV
   – Many clients report that the AI Shopping Assistant directly contributes to higher conversion rates.
   – A frequent insight is a noticeable jump in average order value, often tied to smart product suggestions and guided discovery.
   – Clients also highlight that conversational search helps customers find the “right” product faster, which reduces drop‑offs.

2. Support efficiency and cost savings
   – Our internal data shows that Alhena AI meaningfully reduces support ticket volume by handling repetitive questions around orders, returns, shipping, and product details.
   – Teams often mention a clear reduction in first‑response and resolution times, which in turn cuts support costs.
   – Non‑technical teams appreciate the quick, one‑click style setup and low ongoing maintenance needs.

3. Answer quality and “zero hallucinations”
   – Spendbase clients consistently stress that answer accuracy is a big win.
   – They like that the system sticks closely to their actual store policies and catalog, reducing the risk of wrong promises or made‑up details.
   – This reliability is often tied to higher CSAT and fewer escalations.

4. Shopping experience and personalization
   – Many teams point out that Alhena AI feels more like a “shopping assistant” than a basic FAQ bot.
   – It helps customers compare products, understand differences in features, and choose the right size, variant, or bundle.
   – Clients also value the subtle “smart nudges” (upsells, cross‑sells, replenishment suggestions) that do not feel too pushy.

5. Global coverage and brand fit
   – Support for 90+ languages is repeatedly called out as a game changer for brands selling across regions.
   – Clients like that the tone can be aligned with their brand voice, from luxury beauty to DTC home goods.

6. Where clients still want more
   – Some teams would like even deeper analytics out of the box (e.g., clearer attribution of revenue to conversations).
   – A few mention they’d love broader no‑code controls over conversation flows and merchandising logic.

Overall, our internal Spendbase insights show that Alhena AI is seen not just as a support tool, but as a revenue and experience engine for modern eCommerce stores.