Helpdesk

Migrate your Deskhero data

AI-powered helpdesk built around knowledge base enrichment and Shopify-native ticket context. Small-to-mid support teams use it when Shopify customer data and live product pricing need to surface in every ticket response.

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In its favor

Why people choose Deskhero

The signal that keeps Deskhero on the shortlist. Sourced from G2, Capterra, and customer scoping calls.

Teams already running Shopify choose Deskhero because it queries live pricing and stock data from the Shopify API at reply time rather than caching stale values, keeping every AI-drafted response accurate.

The platform requires no credit card and gets teams productive in under ten minutes — connect a mailbox, add a website to scrape, and the AI begins drafting context-enriched replies immediately.

Small support teams appreciate the per-agent pricing model with a three-agent minimum, making total cost predictable for teams under ten support staff.

The AI drafts replies but never sends them automatically — agents always review and approve, which reduces customer-facing errors and earns trust from teams wary of fully autonomous support.

Multilingual conversation handling and language-detection rules let teams serving non-English customers triage and respond without switching tools.

The three-agent minimum billing forces small solo operators or two-person teams to pay for an unused seat, pushing them toward platforms with no minimum headcount.

Billing escalates quickly with ticket volume — the per-1,000-ticket overage charge on top of per-agent pricing compounds for high-volume support operations.

Advanced features like AI-training data and SSO are gated to higher tiers, meaning teams needing those capabilities must upgrade before the platform delivers its core promise.

Customers report that copycat domains (deskhero.ca) create confusion — the actual helpdesk software is deskhero.com while the .ca domain sells physical keyboards, leading to misdirected signups and support confusion.

Reasons to switch

Why people leave Deskhero

The recurring reasons buyers give for replacing Deskhero. Presented as facts, not knocks.

Platform scorecard

Strengths, weaknesses, and where Deskhero fits

Grades across six dimensions, plus a SWOT-style view of where the platform shines and where it falls short.

SWOT — strengths, weaknesses, and use-case fit

Strengths

Live Shopify API integration keeps every product price and stock level current in AI-drafted replies without cached staleness.Human-in-the-loop AI drafting means every response is reviewed before sending, reducing embarrassing automated errors.Knowledge base supports PDF, DOCX, and PPTX uploads alongside direct article creation, giving flexibility on content sourcing.Language and tone detection rules auto-assign and tag tickets, enabling multilingual support without manual routing.Setup completes in under ten minutes for teams with an existing Shopify store and mailbox connection.

Weaknesses

Three-agent minimum billing penalizes small and solo support teams with unused seat costs.Ticket volume overages add significant cost for high-volume support operations at $20 per 1,000 tickets per month.AI-training data and SSO are tier-gated features, forcing upgrades before the platform reaches its full potential.No publicly documented bulk export API or data portability tooling, making self-service migration difficult.Multiple domain names create brand confusion — deskhero.com is the helpdesk software while deskhero.ca is an unrelated keyboard retailer.

Where it works

Small-to-mid support teams (3–10 agents) running Shopify who need live product pricing and stock levels surfaced in every ticket response without cached staleness.Ecommerce support operations where accurate delivery of current prices, promotional discounts, and real-time inventory availability directly impacts customer satisfaction and reduces refund requests.Multilingual support teams serving non-English customers who benefit from automated language detection and tag-based ticket triage without switching tools or manual routing overhead.Growing support functions that start at the three-agent minimum and can scale incrementally per agent, keeping per-seat costs predictable as the team expands.Teams needing rapid deployment who can connect a mailbox and Shopify store in under ten minutes, leveraging website scraping to bootstrap a knowledge base without manual article creation.

Where it struggles

Solo support operators or two-person teams forced to pay for an unused third agent seat, making the minimum billing model economically inefficient for very small operations.High-volume support operations where per-1,000-ticket overage charges ($20/month) compound with per-agent costs, creating unpredictable total cost for busy seasons or scaling businesses.Teams requiring SSO integration or AI training data features, which are gated behind the Large tier at $89.95/month before the platform delivers its full value proposition.Organizations needing bulk data export or self-service migration tooling, as no publicly documented API or portability tooling exists for moving data off the platform.Teams operating outside Shopify ecosystems or requiring deep integration with non-Shopify ecommerce platforms, where the live API product sync becomes irrelevant.

Pricing tiers

Deskhero pricing overview

Per-agent pricing with a three-agent minimum. Small plans start at $29.85/month and scale via per-agent overage charges. Ticket volume, Shopify products, scraped pages, list entries, and form counts each have separate per-unit overage fees on top of the base plan.

Small

Tier 1 of 3

$29.85/month

What's included

3 agents included, $9.95 per additional agent10,000 tickets3 mailboxes, 500 knowledge base articles, 500 scraped pages10 automation rules, 10 forms, 50 lists with 5,000 entries100 custom fields, 10 groupsShopify customer card and product sync (500 products)AI-suggested answers, multilingual conversations, SSO

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Pricing is informational. FlitStack AI does not bill on Deskhero's schedule — see our quote-based pricing →

What gets migrated

Deskhero object support

Object-by-object support for Deskhero migrations. Per-pair details surface during scoping.

Tickets

Fully supported

Tickets are the primary object in Deskhero. We migrate tickets with their full conversation threads, status, priority, and timestamps. Custom ticket fields are preserved as key-value pairs. Deskhero does not cache Shopify live data inside tickets — product context is stored as references, so we migrate those references intact and flag them for destination-side Shopify reconnection.

Conversations

Fully supported

Conversations are stored as nested message objects inside each Ticket. We preserve message authorship, timestamps, attachments references, and internal/external flags. Agent replies and customer messages are sequenced by timestamp during import.

Knowledge Base Articles

Fully supported

Articles are standalone objects fed into the AI response engine. We migrate articles with their sections, categories, and attachment references. If the destination uses a different knowledge base schema, we flatten hierarchical articles into flat documents and preserve category assignments as tags.

Mailboxes

Mapping required

Mailboxes represent connected Gmail or Outlook accounts with two-way sync. We migrate mailbox configurations and map them to the destination's inbox channel model. IMAP/SMTP credentials cannot be migrated — customers must re-authenticate their mailbox connection at the destination.

Custom Fields

Mapping required

Deskhero supports up to 100 (Small) or 250 (Large) custom fields across tickets and contacts. Custom field definitions and their current values per ticket are migrated. Field type mapping depends on the destination — we convert Deskhero field types to nearest equivalents and flag unsupported field types for manual review.

Groups

Mapping required

Groups define team routing and agent permissions. We migrate Group definitions and their agent membership lists. If the destination uses a role-based access model instead of groups, we map group memberships to the nearest role or team structure.

Lists and List Entries

Mapping required

Lists are segmentation objects with up to 5,000 or 10,000 entries depending on tier. We migrate list definitions and their entry records. Entries are tied to customer records by email or customer ID — we resolve these references and remap them in the destination.

Forms

Mapping required

Forms generate tickets from web submissions. We migrate form definitions (field structure, routing rules) and the submitted records. Form submissions that created tickets are linked via ticket references. Destination form recreation depends on the target platform's form builder capabilities.

Automation Rules

Mapping required

Automation rules trigger on language, tone, or subject conditions to assign, tag, or triage tickets. We map these to the destination's automation or workflow engine. Not all platforms support the same condition triggers — we flag language-based and tone-based rules as requiring destination-specific equivalents.

Web Scraped Pages

Mapping required

Deskhero scrapes website pages to build knowledge base context. We migrate the scraped page URLs and their extracted content. The destination must either support its own scraping or have the content re-scraped there — we export the raw extracted text and category assignments.

Shopify Data

Mapping required

Products and customer data sync from Shopify. Deskhero never caches price or stock — it queries live via Shopify API. We migrate Shopify store references, product ID mappings, and customer associations. Price and stock must be reconnected via API in the destination environment.

Gotchas

What to watch for in Deskhero migrations

Issues we've hit on past Deskhero migrations, tagged by severity. FlitStack AI handles every one — surfacing them up front because buyer engineering teams want to know.

Medium

Shopify live-data model means no historical price or stock snapshot migrates

Low

Three-agent minimum creates stranded cost for very small teams

Medium

Mailbox two-way sync requires re-authentication at destination

High

No documented bulk export API for self-service data portability

How a Deskhero migration works

Four steps, Deskhero-specific

Connect

OAuth 2.0 (Google, Microsoft sign-on); API access available on Large plan into Deskhero. Scopes limited to read-only on the data we move.

Map

We translate Deskhero-specific structures (custom fields, objects, value lists) to the destination's model.

Sample

Test with a 50–200 record subset to validate Deskhero quirks before production.

Migrate

Full migration with Deskhero rate-limit handling. Rollback available throughout.

FAQ

Deskhero migration FAQ

Answers to the questions buyers ask most during Deskhero migration scoping. Not seeing yours? Book a call.

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Most Deskhero migrations under 1M records finish in 48–72 hours end-to-end. Larger orgs with custom objects or buyer-side security review typically take 5–7 days.

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