Mike HeapMike is an experienced Product Manager who focuses on all the “non-development” areas of My AskAI, from finance and customer success to product design, copywriting, testing and more.
Table of Contents
- What is DigitalGenius?
- How easy is it to set up DigitalGenius?
- Where complexity creeps in
- What channels does DigitalGenius work in?
- What's missing
- What are the limitations of DigitalGenius?
- Opaque, custom-only pricing
- Enterprise-heavy onboarding
- Integrations aren't always plug-and-play
- Analytics remain separate
- AI accuracy for edge cases
- No free trial
- What knowledge sources can I train DigitalGenius on?
- What's different from other tools
- Limitations on knowledge sources
- What features does DigitalGenius have?
- Autonomous AI agent
- Deep integrations
- Visual AI
- Proactive customer engagement
- Agent handoff
- How do I improve DigitalGenius responses?
- The improvement loop
- Where the friction is
- What "improving" looks like in practice
- What resolution rate can I expect from DigitalGenius?
- What the case studies show
- What "resolved" means
- A real-world comparison
- What AI model does DigitalGenius use?
- What languages does DigitalGenius work in?
- How secure is DigitalGenius?
- Who is using DigitalGenius?
- G-Star RAW
- Organic Basics
- YouGarden (former customer)
- How much does DigitalGenius cost?
- What we know from third-party sources
- A worked example
- How this compares to My AskAI
- Does DigitalGenius have a free trial?
- Is DigitalGenius worth it?
- What are the Pros and Cons of DigitalGenius?
- Pros
- Cons
- FAQs
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DigitalGenius is a strong ecommerce AI platform with deep integrations and visual AI, but it’s built for bigger teams. Expect custom pricing, a heavier setup, and no free trial.
I know why you're here.
You run support for an ecommerce brand, someone told you DigitalGenius is the "AI agent built for ecommerce," and now you're trying to figure out if it's actually worth talking to their sales team about.
You've probably landed on this page because of one (or more) of these situations:
- You're already on Zendesk, Gorgias, or Salesforce and you want AI that plugs into your existing stack without ripping everything out.
- You've seen their "visual AI" pitch and you're wondering whether it's a real differentiator or a marketing gimmick.
- You're trying to model what this thing actually costs before you commit to a sales call, because there's no public pricing page.
This guide covers what DigitalGenius is, how it works, what it costs (as far as anyone can tell), where it performs well, and where the gaps are. No fluff. Just the stuff you need to make a decision.
What is DigitalGenius?
TL;DR: DigitalGenius is an AI customer service platform built specifically for ecommerce brands. It combines conversational AI, visual AI (image recognition for product defects), and deep integrations with carriers, ERPs, and warehouses to automate support tickets end-to-end.
DigitalGenius was founded in 2013 and is headquartered in London. The company has raised $38.5M in funding across 8 rounds.
In practical terms, DigitalGenius does three things:
- It reads incoming customer messages (email, chat, social) and classifies what the customer wants.
- It pulls data from your backend systems (order management, shipping carriers, payment processors) to form a personalized response.
- It either resolves the ticket autonomously or hands it to a human agent with full context.
The ecommerce focus is the main differentiator. DigitalGenius claims to be trained on nearly a decade of retail-specific data, with 50+ pre-built use cases covering order status, returns, shipping issues, refund processing, and product inquiries.
They also offer a visual AI component that can analyze customer-submitted product photos to detect defects and trigger warranty or replacement workflows automatically. More on that in the features section.
How easy is it to set up DigitalGenius?
TL;DR: Implementation typically takes 2-4 weeks with a dedicated onboarding team. It's not a self-serve setup. You'll work with a DigitalGenius implementation manager, and expect to pay $1,000-$50,000 in implementation fees depending on your scale and complexity.
DigitalGenius is not a "sign up and start automating in 10 minutes" product. This is an enterprise-oriented platform with a structured implementation process.
The typical setup looks like this:
- Discovery call and scoping with their sales team.
- Integration configuration with your helpdesk (Zendesk, Salesforce, Gorgias, etc.) and backend systems.
- Training the AI on your specific product catalog, policies, and common query types.
- Testing and QA before going live.
- Gradual rollout, often starting with a subset of ticket types.
G2 reviewers note that onboarding is "built for enterprise organizations that have technical resources" and that there's a "steep learning curve." If you're a 5-person support team at a mid-market DTC brand, this might feel heavier than what you're looking for.
Implementation fees range from $1,000 to $5,000 for smaller companies, and $10,000 to $50,000 for larger enterprises, according to ITQlick.
Where complexity creeps in
The deep integrations with ERPs, carriers, and warehouse systems are a selling point, but they're also where setup gets complicated. Connecting your Shopify store is straightforward.
Connecting your ERP, payment processor, loyalty platform, and multiple shipping carriers takes real engineering time.
My AskAI can be set up in under 10 minutes with no implementation fee. Connect your helpdesk, add your knowledge sources, and start resolving tickets the same day.
What channels does DigitalGenius work in?
TL;DR: DigitalGenius supports email, live chat, social media (Facebook, Instagram, Twitter), and messaging apps (WhatsApp, Messenger). It connects through your existing helpdesk rather than replacing it.
DigitalGenius works across the main ecommerce support channels:
- Email (the primary channel for most of their customers)
- Live chat / web chat
- Social media (Facebook, Instagram, Twitter)
- Messaging platforms (WhatsApp, Facebook Messenger)
The platform connects through your helpdesk (Zendesk, Salesforce, Gorgias, Kustomer) rather than acting as a standalone chat widget. This means it inherits whatever channels your helpdesk supports.
What's missing
Voice support isn't part of the standard offering. If phone is a major channel for your team, you'll need a separate solution. SMS support is limited and not a primary focus.
My AskAI works across email, live chat, social channels and more through your existing helpdesk. See all supported channels and integrations.
What are the limitations of DigitalGenius?
TL;DR: Opaque pricing, enterprise-heavy implementation, limited self-serve analytics, and integrations that aren't always as plug-and-play as advertised. This is a strong product for large ecommerce operations, but smaller teams will feel the friction.
This is the section that matters most if you're comparing options. Every product has trade-offs, and DigitalGenius is no exception.
Opaque, custom-only pricing
There's no pricing page on the DigitalGenius website. You have to talk to sales, get a custom quote, and negotiate. For teams used to transparent per-ticket or per-agent pricing, this creates friction.
ITQlick rates their pricing a 4/10 and notes that the cost model is usage-based but not publicly documented. Starting prices land around $1,000-$2,000/month before implementation fees.
Enterprise-heavy onboarding
Multiple reviewers on G2 flag the steep learning curve. If you don't have dedicated technical resources, the implementation can stall. The platform is built for organizations with the budget and team to manage a multi-week rollout.
Integrations aren't always plug-and-play
One of the recurring complaints in reviews is that advertised "partner" integrations aren't as out-of-the-box as expected.
Analytics remain separate
Users report that analytics between the automation platform and helpdesk remain entirely separate. You won't get a unified dashboard showing human and AI performance side by side, which makes it harder to measure actual impact.
AI accuracy for edge cases
G2 reviews call out "AI Limitations" and "Inaccuracy" as themes. The AI handles common ecommerce queries well, but complex or unusual situations can produce off-target responses. This is typical of domain-specific AI tools, but it's worth knowing going in.
No free trial
DigitalGenius doesn't offer a free trial. You're committing based on sales conversations and demos, not hands-on evaluation.
My AskAI offers transparent pricing from $199/month with a 30-day free trial. No implementation fees, no sales calls required. See pricing.
What knowledge sources can I train DigitalGenius on?
TL;DR: DigitalGenius ingests FAQ databases, product catalogs, help center articles, and order data through its integrations. The visual AI component can also be trained on product-specific images for defect detection.
DigitalGenius pulls knowledge from several sources:
- Help center / FAQ articles from your helpdesk
- Product catalog data from your ecommerce platform (Shopify, etc.)
- Order and customer data from your OMS, ERP, and CRM
- Shipping and tracking data from carrier integrations (DHL, UPS, FedEx)
- Custom training data you provide during implementation
The visual AI feature requires a separate training step where you upload labeled photos of common product defects. The AI learns to recognize those specific issues and trigger appropriate workflows.
What's different from other tools
The strength here is the deep integration approach. DigitalGenius doesn't just read your FAQ articles. It pulls live order data, tracking information, and inventory status to compose responses. The trade-off is that setting up these integrations takes longer.
Limitations on knowledge sources
The manual Google Sheets workaround for platforms like Gorgias (where KB sync isn't supported) is a real drawback. If your knowledge base lives in your helpdesk and DigitalGenius can't sync with it natively, you're stuck maintaining a parallel data source.
My AskAI connects to your helpdesk knowledge base, websites, files, and custom data sources. Add unlimited knowledge sources and keep them automatically synced.
What features does DigitalGenius have?
TL;DR: Three core layers: autonomous AI agent (resolves tickets with no human), deep integrations (pulls live data from your backend systems), and visual AI (detects product defects from photos). Plus analytics, agent handoff, and multi-language support.
DigitalGenius breaks down into a few distinct capability areas.
Autonomous AI agent
The core product. DigitalGenius reads incoming tickets, classifies intent, and either resolves them automatically or escalates to a human. It comes with 50+ pre-built ecommerce use cases covering order status, returns, exchanges, shipping inquiries, refund processing, and product questions.
The AI generates personalized responses (not template-based) using your specific product knowledge, order data, and policies.
Deep integrations
This is the feature DigitalGenius leans on hardest in their positioning. The platform connects directly with:
- Shipping carriers (DHL, UPS, FedEx) to pull real-time tracking
- ERPs and OMS for order status and inventory
- Payment processors for refund handling
- Loyalty programs for points and rewards queries
The idea is that the AI doesn't just say "let me check on that." It actually checks, processes, and resolves. If a customer asks where their order is, DigitalGenius pulls the tracking data from the carrier and responds with specific delivery information.
Visual AI
Customers can submit photos of damaged or defective products. DigitalGenius's image recognition system analyzes the photo, classifies the issue type (damage, wear, manufacturing defect), and can trigger automated workflows like replacement orders or refund approvals.
You train the visual AI model by uploading labeled examples of common product issues. The accuracy improves with more training data.
Proactive customer engagement
DigitalGenius can also be configured for outbound scenarios. If a shipment is delayed, the system can proactively notify the customer before they contact support.
Agent handoff
When the AI can't resolve an issue (or the customer asks for a human), it escalates with full context. The human agent sees the conversation history, customer details, and what the AI already attempted.
My AskAI includes AI agent, copilot, AI actions and tasks, automatic tagging, and human handoff in every plan. No feature gating by tier.
How do I improve DigitalGenius responses?
TL;DR: DigitalGenius improves through ongoing training data updates, workflow refinements with your implementation team, and feedback loops. But the analytics interface isn't as self-serve as you might want, and tuning often requires support from their team.
Improvement with DigitalGenius follows a structured process rather than a self-serve dashboard approach.
The improvement loop
- Monitor automated resolution rates and customer satisfaction scores.
- Identify gaps where the AI is escalating unnecessarily or giving incomplete answers.
- Update training data, add new intents, or adjust workflow logic.
- Test changes before pushing to production.
Where the friction is
Several reviewers note that the analytics interface could be more user-friendly. Unlike some competitors where you can self-serve most tuning, DigitalGenius often requires involvement from their customer success team to make meaningful adjustments.
This can be an advantage (you have expert help) or a bottleneck (you're dependent on their team's availability and responsiveness). For teams that want to iterate quickly and independently, this dependency is a real factor.
What "improving" looks like in practice
The visual AI component gets better as you feed it more labeled examples of product defects. The conversational AI improves as you expand its knowledge base and refine intent classifications. Both require ongoing investment of time, even after the initial implementation.
My AskAI includes self-learning that automatically improves from agent replies, plus insights and knowledge gap detection so you can tune responses yourself without waiting on a support team.
What resolution rate can I expect from DigitalGenius?
TL;DR: DigitalGenius reports resolution rates ranging from 33% to 40% for fully automated tickets across their case studies. Some customers report 90% automation when including partial automation. Real-world results vary significantly based on how well integrations are configured and how much training data you provide.
DigitalGenius uses different metrics to measure success, and the numbers vary a lot between customers.
What the case studies show
G-Star RAW: 40% of tickets resolved with zero agent involvement. Average reply time dropped by 60%. The AI handles queries in English, Dutch, and German.
One customer quoted on their website reported 33% of inbound tickets handled by AI, with "over half of those fully resolved with zero agent involvement." That translates to roughly 15-17% full automation on total volume.
Another customer claimed 90% automation with deep integrations and product recommendations, though "automation" here likely includes partial automation (AI assists the agent) rather than full end-to-end resolution.
What "resolved" means
This is where it gets slippery. DigitalGenius counts both full automation (ticket resolved with zero human touch) and partial automation (AI handles part of the workflow, agent finishes) in their metrics. When evaluating, ask specifically about the zero-touch resolution rate.
A real-world comparison
YouGarden, a UK ecommerce garden center, previously used DigitalGenius for their AI responses. They found "the pace of progress with the tool starting to stagnate" and switched to My AskAI, where they now achieve a 66% AI resolution rate across ~12,000 monthly tickets, saving 965 hours per month.
Their Head of Customer Service, Mamunur Rahman, noted: "Generally, the responses are much better than Digital Genius' and more detailed."
My AskAI customers typically see 40-75% resolution rates. See real results in our case studies, or estimate your savings with our ROI calculator.
What AI model does DigitalGenius use?
TL;DR: DigitalGenius uses a combination of proprietary models trained on ecommerce-specific data and fine-tuned large language models (likely GPT-based). The visual AI uses a separate computer vision model trained on product defect images.
DigitalGenius doesn't publicly name the exact foundation model behind their conversational AI, but the platform uses a hybrid approach.
The conversational layer combines proprietary intent classification models (trained on their claimed decade of retail data) with generative AI for response composition. Industry sources suggest they use fine-tuned versions of OpenAI's GPT models, though DigitalGenius positions this as "generative AI" rather than naming a specific provider.
The visual AI is a separate computer vision model. You train it on labeled photos of your specific products, and it learns to classify defect types. This runs independently from the conversational AI.
My AskAI uses the latest AI models with no customer data used for training. Learn more about our AI models.
What languages does DigitalGenius work in?
TL;DR: DigitalGenius supports 25+ languages with automatic language detection. The G-Star RAW case study confirms it handles English, Dutch, and German in production.
DigitalGenius supports over 25 languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, and Arabic.
The platform automatically detects the customer's language and responds accordingly. The G-Star RAW case study provides the most concrete production evidence, confirming the AI handles queries in English, Dutch, and German across their global support operation.
For ecommerce brands selling internationally, multi-language support is a baseline requirement. DigitalGenius handles this reasonably well, though the quality of responses in less common languages may not match English-language performance.
My AskAI supports 80+ languages with automatic detection and live translation so agents can reply in their own language while customers read in theirs.
How secure is DigitalGenius?
TL;DR: DigitalGenius is GDPR compliant and uses encryption for data in transit and at rest. Specific certifications like SOC 2 Type II and ISO 27001 are referenced in some sources but should be confirmed directly during your evaluation.
DigitalGenius processes customer data including order information, conversation history, and (for visual AI) product images. Security matters here.
The company is registered in the UK and states GDPR compliance for EU data handling. Industry sources reference SOC 2 Type II and ISO 27001 certifications, though these should be confirmed with their sales team as part of your vendor evaluation.
Data encryption uses SSL/TLS in transit and AES-256 at rest. Data residency options (EU or US) are reportedly available for enterprise customers.
My AskAI is SOC 2 Type II certified. Review our full security documentation at trust.myaskai.com or read about our GDPR compliance.
Who is using DigitalGenius?
TL;DR: DigitalGenius serves mid-to-large ecommerce brands. Named customers include G-Star RAW and Organic Basics. The platform is strongest with fashion, apparel, and DTC brands running high ticket volumes.
G-Star RAW
The Dutch denim brand integrated DigitalGenius with Salesforce and shipping carriers. The case study reports 40% of tickets resolved with no agent involvement, a 60% drop in average reply time, and support in English, Dutch, and German. G-Star's agents were freed up to focus on sales and revenue-generating conversations.
Organic Basics
The Danish sustainable fashion brand turned to DigitalGenius to handle growing query volumes as they expanded into the US market. The primary use case was providing 24/7 automated support across time zones and automating order correction workflows.
YouGarden (former customer)
Worth noting: YouGarden, a UK ecommerce garden center processing ~12,000 monthly tickets, switched away from DigitalGenius to My AskAI after finding progress had stagnated. They now achieve 66% AI resolution with My AskAI.
DigitalGenius's customer base skews toward mid-to-large ecommerce operations with 10,000+ monthly tickets and the technical resources to manage a complex integration.
See how ecommerce brands use My AskAI to achieve 40-75% resolution rates in our case studies.
How much does DigitalGenius cost?
TL;DR: DigitalGenius doesn't publish pricing. Expect license fees starting around $1,000-$2,000/month, plus implementation fees of $1,000-$50,000. The total cost depends on your ticket volume, integration complexity, and level of customization.
Pricing is where things get opaque.
DigitalGenius uses a custom quote model. There's no public pricing page, no self-serve calculator, and no way to estimate costs without talking to their sales team.
What we know from third-party sources
ITQlick provides the most detailed breakdown available:
- License fees starting at approximately $1,000-$2,000/month
- Implementation fees: $1,000-$5,000 for smaller companies, $10,000-$50,000 for enterprises
- Usage-based pricing tied to automation volume and ticket count
- Custom enterprise agreements for high-volume operations
A worked example
Assumption | Value |
Tickets / conversations per month | 10,000 |
DigitalGenius license (estimated) | ~$2,000/month |
Implementation fee (one-time, mid-range) | ~$15,000 |
Annual license cost | ~$24,000 |
Year 1 total (license + implementation) | ~$39,000 |
This is a rough estimate. Actual costs could be higher or lower depending on your specific requirements. The usage-based component means costs scale with ticket volume.
How this compares to My AskAI
My AskAI plans start from $199/month with additional tickets from $0.10/ticket. There are no implementation fees and no sales calls required.
For a team handling 10,000 tickets per month, My AskAI would cost significantly less than DigitalGenius, with transparent pricing and a 30-day free trial to evaluate before committing.
My AskAI starts from $199/month with $0.10/ticket pricing. No implementation fees, no custom quotes. See transparent pricing.
Does DigitalGenius have a free trial?
TL;DR: No. DigitalGenius does not offer a free trial. You'll need to go through their sales process, get a demo, and commit based on that.
DigitalGenius does not offer a free trial at this time.
The evaluation process involves scheduling a demo with their sales team, discussing your requirements, and getting a custom quote. Some sources mention a "pilot" period for enterprise customers, but this isn't a self-serve free trial in the traditional sense.
For teams that want to test before committing, this is a meaningful drawback. You're making a purchasing decision based on demos and sales conversations rather than hands-on experience with your own data and workflows.
My AskAI offers a 30-day free trial with full access to all features. No credit card required to start. Set up in minutes and test with your actual support data before deciding.
Is DigitalGenius worth it?
TL;DR: DigitalGenius is worth it for large ecommerce brands with high ticket volumes, complex backend integrations, and the budget for a custom implementation. It's not the right fit for smaller teams, teams that want self-serve tools, or anyone on a tight budget.
DigitalGenius is probably worth it if:
- You process 10,000+ support tickets per month and need deep backend integration with carriers, ERPs, and payment systems.
- You sell physical products and the visual AI for defect detection would meaningfully reduce manual warranty review.
- You have dedicated technical resources for implementation and ongoing optimization.
- Your budget can absorb $2,000+/month in licensing plus five-figure implementation fees.
DigitalGenius is probably not worth it if:
- You're a small or mid-size ecommerce team that wants self-serve setup and transparent pricing.
- Your primary need is knowledge-base automation (answering FAQ-style questions) without complex backend integrations.
- You want to trial the product before committing to a sales process.
- You're on Gorgias and need KB sync (DigitalGenius has documented limitations with Gorgias's KB endpoints).
- Your budget is under $1,000/month for AI support tooling.
What are the Pros and Cons of DigitalGenius?
Pros
- Ecommerce specialization: Built specifically for retail and ecommerce, with 50+ pre-built use cases and a decade of industry-specific training data. This isn't a generic chatbot adapted for ecommerce.
- Visual AI for product defects: The image recognition capability is a genuine differentiator. If your brand deals with frequent product damage or defect claims, this can automate a labor-intensive review process.
- Deep backend integrations: Live connections to carriers, ERPs, and payment systems mean the AI can resolve tickets end-to-end rather than just deflecting with generic answers.
Cons
- Opaque pricing: No public pricing page, custom quotes only, and implementation fees that can run into five figures. You can't model costs without talking to sales.
- Enterprise-grade implementation: 2-4 week setup, technical resources required, steep learning curve. This rules out smaller teams looking for quick wins.
- Integrations not always plug-and-play: Advertised partner integrations (like Gorgias KB sync) have documented limitations. Expect some manual workarounds.
- Limited self-serve analytics: Tuning and optimization often require involvement from the DigitalGenius team rather than being fully self-serve, creating a dependency.
DigitalGenius
- Brand: DigitalGenius
- Rating: 6/10
- In a sentence: A capable ecommerce AI platform with real technical depth, held back by opaque pricing, enterprise-heavy onboarding, and limitations that matter for mid-market teams.
Want to compare? See how My AskAI stacks up with transparent pricing, self-serve setup, and 40-75% resolution rates. Start a free trial or read our case studies.
FAQs
What is DigitalGenius?
DigitalGenius is an AI-powered customer service platform built specifically for ecommerce brands. It combines conversational AI, visual AI for product defect detection, and deep integrations with helpdesks, carriers, ERPs, and payment systems to automate support tickets. The company was founded in 2013 and is headquartered in London.
How much does DigitalGenius cost?
DigitalGenius uses custom pricing with no public pricing page. Third-party sources estimate license fees starting at $1,000-$2,000/month, with implementation fees ranging from $1,000 to $50,000 depending on company size and complexity. Contact their sales team for a specific quote. Compare with My AskAI pricing from $199/month.
Does DigitalGenius offer a free trial?
No, DigitalGenius does not offer a free trial. Evaluation requires going through their sales process and getting a demo. My AskAI offers a 30-day free trial with no credit card required.
What helpdesks does DigitalGenius integrate with?
DigitalGenius integrates with Zendesk, Salesforce, Gorgias, Kustomer, and other major helpdesk platforms. It also has a Shopify app for direct ecommerce integration. Note that some integrations (like Gorgias KB sync) have documented limitations.
What resolution rate can I expect from DigitalGenius?
Case studies show a range. G-Star RAW reports 40% fully automated resolution. Other customers report 33% to 90% depending on how "automation" is defined (full resolution vs. partial assistance). The actual rate depends heavily on your integration depth and training data quality.
How does DigitalGenius visual AI work?
Customers submit photos of damaged or defective products. The visual AI analyzes the image using computer vision, classifies the defect type, and can automatically trigger workflows like replacement orders or refund approvals. You train the model by uploading labeled examples of common product issues.
What AI model does DigitalGenius use?
DigitalGenius uses a combination of proprietary models trained on ecommerce data and fine-tuned large language models for response generation. The visual AI uses a separate computer vision model. They don't publicly name their specific AI providers.
How long does DigitalGenius take to set up?
Typical implementation takes 2-4 weeks and includes a dedicated onboarding team. The timeline depends on the complexity of your integrations (helpdesk, ERP, carriers, payment systems). G2 reviews note the setup is built for enterprise organizations with technical resources.
What languages does DigitalGenius support?
DigitalGenius supports 25+ languages with automatic language detection. The G-Star RAW case study confirms production use in English, Dutch, and German. My AskAI supports 80+ languages.
Is DigitalGenius GDPR compliant?
Yes, DigitalGenius states GDPR compliance for EU data handling. They are a UK-registered company. Some sources reference SOC 2 Type II and ISO 27001 certifications, but confirm these directly during your evaluation. My AskAI is SOC 2 Type II certified.
Can I use DigitalGenius with Shopify?
Yes, DigitalGenius has a Shopify app that connects your store for order data access, product information, and customer details. This enables the AI to pull live order status and shipping information when responding to customers.
What are the best DigitalGenius alternatives?
Alternatives include My AskAI (transparent pricing from $199/month, works with major helpdesks), Ada, Yuma AI, Tidio, and the built-in AI features of platforms like Zendesk, Intercom, and Freshdesk. The right choice depends on your helpdesk, budget, and whether you need ecommerce-specific features like visual AI.
Does DigitalGenius work with Gorgias?
DigitalGenius has a Gorgias integration, but with documented limitations. They state they are "unable to sync with KnowledgeBase" because Gorgias doesn't support KB endpoints, suggesting a manual Google Sheets upload as a workaround. My AskAI has a native Gorgias integration with full functionality.
Who are DigitalGenius's customers?
Named customers include G-Star RAW and Organic Basics. The platform primarily serves mid-to-large ecommerce brands in fashion, apparel, and DTC. Notable former customer YouGarden switched to My AskAI and now achieves 66% resolution rate across 12,000 monthly tickets.
