---
title: "8 Best Voice AI Agents for E-commerce (2026) | Ringg AI"
description: "Compare 8 voice AI agents for e-commerce on cart recovery, order tracking, returns, pricing and integrations. Find the right fit for your business."
canonical_url: "https://www.ringg.ai/blog/best-voice-ai-agents-for-ecommerce"
last_updated: "2026-10-26T10:29:10.000Z"
---

[Tool Comparisons](https://www.ringg.ai/blog/category/tool-comparisons)

# The 8 Best Voice AI Agents of 2026 for E-commerce

Compare 8 voice AI agents for e-commerce on cart recovery, order tracking, returns, pricing and integrations. Find the right fit for your business.

Published 26 Oct 2026 14 min read

[![Arundhati](https://images.prismic.io/ringg-ai/3ZYOgugfA-xX5wyk_ACE396F0-47F9-4977-BB1F-2A1EE39C3A52.JPG?auto=format%2Ccompress&rect=0%2C882%2C2268%2C2268&w=640&ar=1%3A1&fit=crop&crop=faces)

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## Key Takeaways

1.  **Best overall for e-commerce:** **[Ringg AI](https://www.ringg.ai/?utm_source=google&utm_medium=search&utm_campaign=IN_Ringg_AI_timp_AB_test&ad_device=c&keyword=ringg%20ai&gad_source=1&gad_campaignid=23463759538&gbraid=0AAAAA_zsJUTZsbzqsVAZNBVVIJXjoHn-e&gclid=CjwKCAjwxeHWBhBPEiwAiqtQ-VXSLxO1GKDdxk4oLkuNkCaiHnYUZmVHJ4TzYJAxFcPmwRgzAPI4kBoCbzYQAvD_BwE)****.** It is built for cart recovery, cash-on-delivery (COD) confirmation, order updates and non-delivery report (NDR) calls in 20+ languages, at $0.10 per connected minute.
2.  **Best for Shopify-native teams: Consio.** It handles inbound and outbound calls in one tool, but it depends on the Shopify integration.
3.  **Best for building your own agent: Retell AI.** It is pay-as-you-go ($0.07–$0.31 per minute) but needs setup work.
4.  **Best for large retailers with strict compliance or seasonal peaks:** PolyAI, Sierra, Decagon and Synthflow. All four use a sales-led process with unpublished or enterprise-only pricing.
5.  **Best for teams that also need a phone system:** JustCall. Its AI agent is an add-on to per-seat plans.

![The 8 Best Voice AI Agents of 2026 for E-commerce ](https://images.prismic.io/ringg-ai/GjMZUf8hWBXAwKJf_ecommerce-voice-ai-10.png?auto=format%2Ccompress&fit=max&w=3840)

## Why Your Business Should Consider [Voice AI for E-commerce](https://www.ringg.ai/industries/e-commerce)

[Seven out of ten online carts never become orders](https://baymard.com/lists/cart-abandonment-rate), and a reminder email is often the only attempt to win them back. E-commerce teams already automate email, SMS and WhatsApp, but a lot of revenue still depends on moments those channels handle poorly: a shopper stalls at checkout, a delivery attempt fails, or a cash-on-delivery order needs confirmation. [Voice AI](https://www.ringg.ai/glossary/voice-ai) fits these moments because a call gets an answer in real time.

*   **It recovers revenue at the moments that matter.** [An abandoned cart is a buying signal](https://www.ringg.ai/blog/ai-agents-d2c-ecommerce-use-cases), and a short conversation can reveal what stopped the shopper from buying. The agent can then address the concern and send a link back to the cart.
*   **It protects orders after purchase.** Failed deliveries and unconfirmed COD orders often result in [shipments being returned to origin](https://www.ringg.ai/use-cases/failed-delivery-recovery), adding shipping and restocking costs. A call right after a failed attempt can confirm whether the customer still wants the parcel, learn why delivery failed and request a reattempt while the shipment is still recoverable.
*   **It takes repetitive calls off your team’s hands.** “Where is my order?” is one of the most common support questions. A voice agent connected to order and carrier data can answer it at any hour, in the customer’s language, without putting the customer on hold, and [hand over complex cases with context](https://www.ringg.ai/use-cases/ai-customer-support).
*   **It scales through peaks and across languages.** Sales, launches and festive seasons raise call volume faster than you can hire. Voice AI handles many conversations at once and can switch between regional languages.
*   **It’s measurable.** Calls produce [transcripts](https://www.ringg.ai/glossary/call-transcription), outcomes and attributable orders. The best test is to compare contacted customers against a holdout group, so you count extra orders and not just purchases that would have happened anyway.

[The right choice depends on your market, order volume and workflows](https://www.ringg.ai/blog/evaluating-ai-voice-agents). The comparison below examines how Ringg AI and seven other platforms support these needs.

## How We Compared These Voice AI Agents

We compared these eight platforms using their public product documentation, pricing pages, and published customer examples. We focused on e-commerce workflows, integration requirements, pricing structure, [human handoff](https://www.ringg.ai/glossary/human-handoff), and suitability for different team sizes. This is a research-based comparison, not a hands-on performance benchmark. The information presented reflects the sources consulted as of October 2026.

## An Overview of the 8 Best Voice AI Agents for E-commerce

| **Platform** | **Best suited to** | **E-commerce voice use cases** | **Pricing (as of October 2026)** |
| --- | --- | --- | --- |
| **Ringg AI** | Direct-to-consumer (D2C) and e-commerce brands in multilingual markets | Abandoned-cart calls, COD confirmation, order and delivery updates, failed-delivery (NDR) recovery | $0.10 per connected minute (flexible plan); custom quotes for enterprise |
| **Consio** | Shopify brands wanting inbound and outbound in one tool | Order tracking, cancellations, returns, address updates, draft orders, SMS links, calls to Klaviyo/Shopify segments | $0.30 per AI minute plus about $0.10 per call minute (roughly $0.40 combined); free account |
| **Retell AI** | Teams that want to build and tune their own agent | Phone orders, order status, refunds, upselling, failed-delivery confirmation | $0.07–$0.31 per minute, pay as you go; extra concurrency $8 per call per month |
| **PolyAI** |

## Top 8 Voice AI Agents for E-commerce (2026)

### 1\. Ringg AI: Best for Cart Outreach and Delivery Follow-Up

![1\. Ringg AI: Best for Cart Outreach and Delivery Follow-Up](https://images.prismic.io/ringg-ai/trHT9OHKoJoWtnqM_ecommerce-voice-ai-1.png?auto=format%2Ccompress&fit=max&w=3840)

Ringg AI is a voice AI platform built for the [calls that recover e-commerce revenue](https://www.ringg.ai/industries/e-commerce), with deep experience in multilingual markets.

*   Its agents [call abandoned-cart shoppers only when they’re eligible](https://www.ringg.ai/use-cases/abandoned-cart-recovery), ask what stopped checkout, answer approved product, delivery and payment questions, apply valid offers and send a Shopify cart link on WhatsApp.
*   They also confirm COD orders, give [verified order and delivery updates](https://www.ringg.ai/use-cases/order-delivery-updates) from live carrier events and run [non-delivery report (NDR) calls](https://www.ringg.ai/use-cases/failed-delivery-recovery) after a failed delivery. In those calls, the agent confirms why delivery failed, asks whether the customer still wants the parcel, collects reattempt details and promises a reattempt only after the carrier accepts it.
*   Ringg’s strongest example is Ekart, a major Indian logistics provider. Ekart reports [1 lakh+ calls a month, 75% coverage across India](https://www.ringg.ai/case-studies/ekart), and Hindi, Tamil, Telugu and Kannada support. Ringg also integrates with Shopify, Stripe, Salesforce and HubSpot, supports 20+ languages, and holds SOC 2, ISO 27001 and GDPR certifications.

**Pricing:** [$0.10 per connected minute](https://www.ringg.ai/pricing) on the flexible plan, with custom quotes for enterprise terms.

**Best for:** Ringg suits D2C and e-commerce brands that want to recover carts, verify COD orders and reduce return-to-origin.

![1\. Ringg AI: Best for Cart Outreach and Delivery Follow-Up](https://images.prismic.io/ringg-ai/WYqU9bSOAcooYiui_ecommerce-voice-ai-2.png?auto=format%2Ccompress&fit=max&w=3840)

**Limitations:** For teams looking for greater technical control over automation, Ringg may not be the best fit, as it prioritizes ease of setup.

### 2\. Consio AI: Best for Shopify Commerce and Phone Workflows

![2\. Consio AI: Best for Shopify Commerce and Phone Workflows](https://images.prismic.io/ringg-ai/DwfmuFotkzjyRS5c_ecommerce-voice-ai-3.png?auto=format%2Ccompress&fit=max&w=3840)

Consio is a [Shopify-native AI phone platform](https://www.consio.ai/use-case/ecommerce-crm) whose voice agent handles both inbound support and outbound sales on the same system.

*   For inbound calls, it syncs your catalog, stock levels, policies and order data from Shopify, so it can [answer product questions, track orders](https://www.consio.ai/for-support), cancel eligible orders within your rules, start returns or exchanges, update shipping addresses and text customers links mid-call.
*   For outbound calls, it calls any Klaviyo or Shopify segment, such as abandoned checkouts, failed payments, and VIP or win-back lists.
*   Every call, text and voicemail is attached to the customer’s Shopify profile, and conversions and attributed revenue are tracked.

**Pricing**: The AI agent costs [$0.30 per minute, plus the underlying call time at $0.10 per minute](https://www.consio.ai/pricing) (roughly $0.40 per AI-handled minute), and SMS messages cost about $0.016 each. Plans are month-to-month, and you can start with a free account.

**Best for:** Consio is best suited to Shopify brands, especially ones with premium or technical products for which shoppers require multiple follow-up calls before buying.

**Limitations and how Ringg compares:** Consio is useful out of the box, but teams with more specific workflow requirements would benefit from more customization options [(Source)](https://www.g2.com/sellers/consio#reviews). Teams outside the Shopify ecosystem will get much less from it, since the agent’s usefulness depends on that live integration. Ringg integrates with Google Sheets, Slack, Salesforce, Shopify, HubSpot, Calendly, WhatsApp, and Zapier.

### 3\. Retell AI: Best for Configurable Calling Workflows

![3\. Retell AI: Best for Configurable Calling Workflows](https://images.prismic.io/ringg-ai/7TmOnHcfRM1jO0t8_ecommerce-voice-ai-4.png?auto=format%2Ccompress&fit=max&w=3840)

Retell AI is a developer-friendly voice AI platform that handles [e-commerce calls](https://www.retellai.com/industry/retail-consumer-goods) for both inbound and outbound calls.

*   For inbound calls, its agents take phone orders, look up real-time order status from an order number, answer FAQs without hold times, process refunds and hand off to a human when a case gets complicated.
*   For outbound calls, they can reach past buyers with personalized offers and upsell or cross-sell based on purchase history.
*   Retell lists Shopify, Salesforce Commerce Cloud and Magento among its commerce integrations, plus CRMs like HubSpot and Zoho.

**Pricing:** Rates range from [$0.07 to $0.31 per minute](https://www.retellai.com/pricing) on a pay-as-you-go basis. Its own estimator shows about $0.11 per minute on a default setup (large language model \[LLM\], voice infrastructure and [text-to-speech](https://www.ringg.ai/glossary/text-to-speech)), and the cost varies with the LLM and voice you choose. Twenty concurrent calls are included, and extra capacity is $8 per concurrent call per month. Enterprise plans have custom pricing.

**Best for**: Retell suits teams that want to build and tune their own agent.

**Limitations and how Ringg compares:** Retell AI is flexible, but it can take time to fine-tune for very specific use cases, with a learning curve around [prompt design](https://www.ringg.ai/glossary/prompt-engineering), call logic and conversation flows ([Source](https://www.g2.com/products/retell-ai/reviews)). Ringg AI cuts that work down because the logic is already built into its e-commerce workflows. Teams adjust a working flow rather than designing one from scratch.

### 4\. PolyAI: Best for Enterprise Inbound Order and Delivery Support

![4\. PolyAI: Best for Enterprise Inbound Order and Delivery Support](https://images.prismic.io/ringg-ai/WQy6X42-Wdl_1Wqm_ecommerce-voice-ai-5.png?auto=format%2Ccompress&rect=0%2C0%2C1877%2C897&w=3840&fit=max)

PolyAI is an enterprise voice AI platform that supports e-commerce and retail use cases.

*   Its order-management agents let customers [place, edit or cancel orders over the phone, track deliveries and reschedule them](https://poly.ai/use-cases/order-management) without speaking to a human.
*   The agent also handles more complex [“Where is my order?” (WISMO)](https://www.ringg.ai/glossary/wismo) calls, including reporting problems with an order.
*   PolyAI says it integrates with all major contact-center (CCaaS) and telephony providers, CRMs and order management systems, so it can sit on top of an existing stack.
*   It also claims a deployment time of four weeks or less with no training data required.

**Pricing:** There’s no public rate card, so you’ll need to [request a quote](https://poly.ai/pricing).

**Best for:** PolyAI suits larger brands with high call volumes, many languages or seasonal peaks. Small Shopify merchants who want to self-serve and sign up today will find it less accessible, because there’s no listed price or trial for the voice product.

**Limitations and how Ringg compares:** PolyAI works well for large retailers, but Agent Studio’s testing tools don’t offer an open playground for quick prompt iteration. Its quote-only pricing is also hard to justify for smaller workflows, and legacy-database integrations often need the vendor’s engineers ([Source](https://www.gartner.com/reviews/market/ai-agents-for-customer-service-and-support/vendor/polyai/product/polyai-1915845842/review/view/6806100)). Ringg AI addresses these concerns: its cart recovery, COD and NDR workflows come ready-made, so teams don’t need a playground to tune prompts from scratch; its published $0.10 per connected minute lets brands start with one low-volume workflow.

### 5\. Sierra: Best for Enterprise Customer Experience via Voice

![5\. Sierra: Best for Enterprise Customer Experience via Voice](https://images.prismic.io/ringg-ai/5zLw-q2dC7SyjiDN_ecommerce-voice-ai-6.png?auto=format%2Ccompress&rect=0%2C0%2C1890%2C906&w=3840&fit=max)

Sierra is an enterprise AI agent platform for customer experience, used by retail and consumer brands.

*   For retail, its agents give [personalized pre-purchase product recommendations](https://sierra.ai/kr/industries/retail), track orders, handle warranty claims and refunds, turn returns into exchanges, and manage account changes such as updating billing details or processing cancellations.
*   They connect to a brand’s CRM, inventory and other systems so answers and actions reflect live data.
*   Agents can be updated with new promotions or policies, built to absorb seasonal spikes and set to hand off smoothly to live staff.

**Pricing:** Numbers aren’t publicly disclosed. According to a Sierra blog post published in 2024, the company [charges for outcomes such as a resolved conversation, a saved cancellation, an upsell or a cross-sell](https://sierra.ai/uk/blog/outcome-based-pricing-for-ai-agents). According to Sierra, unresolved conversations and most escalations aren’t charged, and outcome criteria are agreed upfront. It can also blend in per-conversation pricing for simpler interactions like routing.

**Best for:** Sierra is best suited to large retail brands that want to pay for results rather than minutes and have the scale for a managed, partnership-style deployment. Smaller merchants should expect a sales-led process, since no price list or self-serve signup appears on these pages.

**Limitations and how Ringg compares:** Sierra suits large retail brands, but deploying it into a ServiceNow instance can be heavy lifting, with custom API work to bridge into existing systems and rollouts that take 8 to 16 weeks [(Source)](https://www.gartner.com/reviews/market/ai-agents-for-customer-service-and-support/vendor/sierra/product/sierra-938658240/review/view/6846372). Ringg AI avoids that overhead: its [recovery and delivery workflows](https://www.ringg.ai/blog/ringg-ai-for-shopify) plug straight into Shopify, Stripe, Salesforce and HubSpot, so most e-commerce teams can go live without a custom integration project.

### 6\. Decagon: Best for Enterprise Customer Experience Teams

![6\. Decagon: Best for Enterprise Customer Experience Teams](https://images.prismic.io/ringg-ai/AMUZOtER-lPjys7f_ecommerce-voice-ai-7.png?auto=format%2Ccompress&rect=0%2C0%2C1881%2C900&w=3840&fit=max)

Decagon is an enterprise conversational AI platform for customer experience.

*   Its retail pitch is to raise average order value and loyalty by supporting shoppers before, during and after purchase.
*   Its agents are built with Agent Operating Procedures (AOPs), which let CX teams write and change agent logic in natural language while technical teams keep control.
*   For retail, the agents handle account support such as [billing, subscriptions and preferences, with upsell and retention moves built in](https://decagon.ai/industry/retail). They connect to existing support tools like Salesforce and Zendesk.

**Pricing:** Pricing isn’t published. Decagon offers [per-conversation or per-resolution pricing](https://decagon.ai/blog/pricing-ai-agents) and says most customers choose the former.

**Best for:** Decagon suits large e-commerce brands with high support volumes, an [existing helpdesk](https://www.ringg.ai/glossary/help-desk) and a budget for a vendor-led enterprise deployment. It is a poor fit for small or mid-size merchants who want clear pricing or a quick self-serve trial.

**Limitations and how Ringg compares:** Decagon handles routine requests well, but more complex or unusual customer issues can still need a human, and the handoff between the two could be smoother [(Source)](https://www.g2.com/products/decagon/reviews?qs=pros-and-cons&filters%5Bcomment_answer_values%5D=&order=most_recent&utf8=%E2%9C%93#reviews). Ringg AI is built around that moment. In its [PolicyBazaar deployment](https://www.ringg.ai/case-studies/policybazaar), AI fully handles 67% of calls, 7% of high-intent leads go to a human advisor already briefed with the full call context, and another 26% get a scheduled callback, so nobody has to repeat themselves.

### 7\. Synthflow: Best for AI Overflow Coverage

![7\. Synthflow: Best for AI Overflow Coverage](https://images.prismic.io/ringg-ai/2-dpKdaa4tIoL2Kc_ecommerce-voice-ai-8.png?auto=format%2Ccompress&rect=0%2C0%2C1880%2C871&w=3840&fit=max)

Synthflow is an enterprise voice AI platform that handles e-commerce calls such as order status, shipping and returns, product questions and store inquiries.

*   Agents give customers real-time order, shipping and return updates, [check inventory, start return flows, update profiles and book appointments](https://synthflow.ai/industry/retail).
*   The same agent can run voice and chat with shared logic and memory.
*   It connects to contact-center and CRM systems such as Genesys, Twilio, Five9, Salesforce, HubSpot and Zendesk.

**Pricing:** Pricing is enterprise-only. [Contracts start at $30,000 a year](https://synthflow.ai/pricing) and are scoped around call volume, concurrency, telephony, integrations, security needs and launch support.

**Best for:** Synthflow suits large retailers and BPOs that need support for high call volumes, strict compliance requirements and a hands-on rollout. It’s a weak fit for small online stores, because there’s no listed per-minute price and no self-serve pricing path.

**Limitations and how Ringg compares:** Synthflow is easy to start with in the US, but a G2 reviewer reports that direct phone numbers are limited to the US, Canada and Australia and that the redesigned interface is confusing [(Source)](https://www.g2.com/products/synthflow/reviews?expanded=synthflow-review-12768695#synthflow-review-12768695). Ringg AI sidesteps the number problem by running on a customer’s own carrier infrastructure so calls go out on local numbers without a plan upgrade. It also holds [GDPR, SOC 2 and ISO 27001 certifications](https://www.ringg.ai/security), and it prioritizes ease of setup over a maze of menus.

### 8\. JustCall: Best for Teams That Also Need a Phone System

![8\. JustCall: Best for Teams That Also Need a Phone System](https://images.prismic.io/ringg-ai/bSQNgEBRS-M5RRHk_ecommerce-voice-ai-9.png?auto=format%2Ccompress&rect=0%2C0%2C1867%2C890&w=3840&fit=max)

JustCall is a cloud phone system with a built-in AI voice agent. For e-commerce, the agent answers inbound calls around the clock.

*   It looks up [real-time order and shipping status](https://justcall.io/product/ai-voice-agent/retail-ecommerce/), checks stock and sizes, reschedules deliveries, starts returns and exchanges, shares loyalty balances and sends SMS follow-ups with product or policy links.
*   JustCall says it connects to Shopify, WooCommerce, BigCommerce and Magento, plus POS systems such as Square and Lightspeed, carriers such as FedEx and UPS, and tools like Klaviyo and Loop Returns.

**Pricing: The AI agent’s cost is added to a per-seat phone plan:** [Team at $29, Pro at $49 and Pro Plus at $89 per user per month billed annually](https://justcall.io/pricing/) (two-seat minimum), plus a custom Business tier. The AI Voice Agent is an add-on, billed per minute, with [volume discounts down to $0.15 per minute](https://justcall.io/pricing/), and the first 100 minutes are free. A 14-day free trial is available.

**Best for:** JustCall suits small and mid-size teams that already want a phone system, a shared inbox and a 24/7 voice layer in one product. It’s a weaker fit for brands that only want a standalone voice agent or a Shopify-native outbound tool, since the agent is bundled into a larger phone platform.

**Limitations and how Ringg compares:** JustCall is easy to use, but there are reports of inconsistent call quality when network conditions are poor, advanced features and integrations being limited to higher-tier plans (which can make pricing feel restrictive for smaller teams), and limited customization of some settings and workflows to fit different team processes [(Source)](https://www.g2.com/products/saas-labs-justcall/reviews?filters%5Bsentiment_snippet%5D=1852067&filters%5Bcomment_answer_values%5D=&order=most_recent&utf8=%E2%9C%93#reviews). Ringg AI is a dedicated voice agent rather than a phone-system add-on, and [Ekart runs 1 lakh+ calls a month](https://www.ringg.ai/case-studies/ekart) on it across India.

## Why Ringg AI Ranks #1 in Voice AI for E-commerce

At Ringg AI, we help e-commerce teams bring shoppers back to checkout, follow up on orders, and keep [customer conversations connected across channels](https://www.ringg.ai/glossary/omnichannel-customer-support).

*   **Conversations in your customers’ languages.** Our agents support 20+ languages, with response times below 400 ms across modalities, helping shoppers ask product questions or explain delivery concerns in a familiar language.
*   **Capacity for campaign and seasonal peaks.** Our platform supports 120,000+ interactions per hour, giving retailers capacity for customer outreach and support as demand grows.
*   **Connected to your store and the next action.** Our [Shopify integration](https://www.ringg.ai/blog/ringg-ai-for-shopify) supports taking and tracking orders by voice. We also support abandoned-cart outreach with a path back to checkout, alongside voice and WhatsApp conversations that retain customer context.
*   **Bringing customers back to reorder.** Pharmeasy reports [](https://www.ringg.ai/case-studies/pharmeasy)[2,000+ incremental orders per month](https://www.ringg.ai/case-studies/pharmeasy) using AI calls to reach reorder-eligible customers who had not converted through existing CRM communications, followed by WhatsApp messages through CleverTap.

Our stats speak for themselves, but if you’re still not convinced, we’ll walk the talk - [book a demo today](https://www.ringg.ai/book-a-demo).

## Sources

*   https://baymard.com/lists/cart-abandonment-rate

## Frequently Asked Questions

### What is Voice AI in E-Commerce?

Voice AI in e-commerce is the use of speech technology to let customers browse, ask questions, manage orders, and buy products using natural spoken language.

### Can an AI voice agent check order and delivery status?

Yes, when connected to the relevant order and delivery systems. In a demo, check [partial shipments, delayed tracking updates and failed lookups](https://www.ringg.ai/use-cases/order-delivery-updates); the spoken answer should match the underlying order or carrier record.

### Can voice AI handle returns and refunds?

Some tools can initiate returns or support refund workflows, but these are different permissions. Ask the vendor to demonstrate the exact action you need, including [identity checks, policy limits and escalation](https://www.ringg.ai/glossary/ai-guardrails) when a request falls outside the rules.

### Do I need a developer to connect voice AI to Shopify?

That depends on the product and the actions you need. Consio documents Shopify-connected voice workflows, while configurable platforms may need API or middleware work. Ask who installs, tests and maintains the connection, and whether your required action is included or custom-built.

### What is the difference between COD confirmation and NDR calling?

Cash-on-delivery (COD) confirmation checks purchase intent and delivery details before dispatch. Non-delivery report (NDR) calling follows an unsuccessful delivery attempt to establish what should happen next.

### Can voice AI work with my existing helpdesk?

Yes, through a supported integration or a scoped custom connection. Test that the call reaches the correct customer record and that [human agents receive enough context to continue](https://www.ringg.ai/glossary/human-handoff).

### How should I measure the ROI of e-commerce voice AI?

For support, [divide the full operating cost by the number of correctly resolved conversations](https://www.ringg.ai/glossary/cost-per-resolution) and monitor repeat contacts. For recovery, compare eligible customers against a holdout group, then account for discounts, cancellations, returns and calling costs. Attributed revenue alone does not show how many purchases the calls caused.

## Related blogs

[View all blogs](https://www.ringg.ai/blog)

[

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### 11 Best No-Code AI Voice Agents In 2026 (Rated and Reviewed)

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### 14 Best AI Calling Agents of 2026 Reviewed (So You Don't Have To)

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Source: https://www.ringg.ai/blog/best-voice-ai-agents-for-ecommerce
