Skip to content
HelpoSoft 3.12.2 Cumulative recovery restores the complete Cloud marketing dependency chain and protects mixed-version upgrades. Release notes
HelpoSoft
Explore HelpoSoft Cloud

Products, integrations, guidance and enterprise assurance.

Pricing Enterprise
Sign inStart freeBook a demo
Solution for Ecommerce teams

Resolve pre-sale and order questions across every channel.

Bring website chat, social messaging, email and customer history together while automating only approved store information.

Start with HelpoSoft CloudPlan the operating model
Built forCustomer serviceEcommerce operationsLogisticsFinance and fraud teams
Connected operating model
One timeline across supported messaging channels
Faster answers from approved policy content
Proactive campaigns on high-intent pages
Clear workload and quality reporting
Primary modelShared support operation
PlatformHelpoSoft Cloud
ImplementationPhased and evidence-led
AvailabilityReview product status
Industry workflows

Specific operating scenarios—not a copied industry label.

Each scenario identifies a real support decision, the sequence of controls around it and the customer outcome the team should verify.

Workflow 01

Pre-purchase assistance

Use page context and approved product knowledge to route high-intent questions without inventing stock or delivery promises.

  1. Install website chat
  2. Connect product context
  3. Prepare approved answers
  4. Escalate account-specific questions
Workflow 02

Order and delivery support

Verify customer identity before exposing order data, then route delays, address changes and courier issues.

  1. Authenticate the customer
  2. Retrieve minimum order context
  3. Apply delivery workflow
  4. Record commitments
Workflow 03

Returns and refund handling

Separate policy guidance from approval authority and keep finance decisions auditable.

  1. Classify return reason
  2. Show approved policy
  3. Route exceptions
  4. Track resolution and feedback
Common operating problems

What the workflow needs to solve.

Customers switch between website and social messaging
Order, delivery and return questions repeat constantly
High-volume campaigns create sudden support spikes
Agents lack a complete cross-channel history
Target outcomes

What better support looks like.

One timeline across supported messaging channels
Faster answers from approved policy content
Proactive campaigns on high-intent pages
Clear workload and quality reporting
Operating model

Decisions the team must own.

Enterprise-grade support is not created by enabling every feature. It comes from clear boundaries, named owners and verifiable behavior.

1

Identity before order data

Use authenticated integrations for account-specific answers.

2

Policy-controlled automation

AI can explain approved policy but should not promise unsupported refunds.

3

Campaign readiness

Plan staffing, routing and offline behavior before traffic spikes.

Recommended workflow

Configure the operation in deliberate stages.

Begin with ownership and data boundaries, then connect channels, knowledge and automation only after the previous stage is tested.

1

Connect store website and messaging channels

Assign ownership, test the behavior and document the expected customer and agent experience.

2

Import delivery, return and product-help articles

Assign ownership, test the behavior and document the expected customer and agent experience.

3

Create routing for order and refund intents

Assign ownership, test the behavior and document the expected customer and agent experience.

4

Show targeted chat prompts on product or checkout pages

Assign ownership, test the behavior and document the expected customer and agent experience.

5

Measure CSAT and repeated knowledge gaps

Assign ownership, test the behavior and document the expected customer and agent experience.

Recommended capabilities

Connect the product around the solution.

Use only the capabilities needed for this operating model and verify their status before production rollout.

AvailableLive ChatInstall one non-blocking widget, serve several websites, identify visitor context and move every conversation between AI and human support without losing history.
Configuration requiredOmnichannel MessagingBring WhatsApp, Messenger, Instagram, Telegram, SMS, email, voice and website conversations into a unified customer and ticket timeline.
Configuration requiredAI Support AgentGround AI responses in approved company knowledge, control spend and confidence, review risky answers and hand conversations to agents whenever certainty is low.
AvailableAutomationCreate multi-condition rules for tickets, chats, SLAs, AI handoffs and customer feedback, with delayed actions, signed webhooks and execution history.
AvailableAnalytics & QualityMeasure support volume, responsiveness, SLA performance, customer feedback, agent quality, AI usage and staffing needs from workspace-isolated dashboards.
Connected systems

Recommended integrations

Availability and provider terms are explicit on every integration page.

WooCommerceBeta · CommerceWhatsApp Cloud APIAvailable · MessagingMessenger & InstagramBeta · MessagingEmail, IMAP & SMTPAvailable · ChannelsJavaScript WidgetAvailable · Websites
Implementation guidance

Related playbooks

Use step-by-step guidance for rollout, security, knowledge and service design.

Configure an omnichannel support connectionChannels · 11 minLive chat best practices for support teamsLive chat · 12 minCustomer support automation examples that remain accountableAutomation · 13 min
Operating review

Measure outcomes with clear definitions.

Do not publish demo values as customer evidence. Define each metric, its source, owner, scope and review cadence.

Contact rate per orderProduction definition required
First response by channelProduction definition required
Delivery issue volumeProduction definition required
Return resolution timeProduction definition required
CSAT after refund or replacementProduction definition required
Cloud operating model

Match managed service to accountable customer control.

Document Cloud service scope, customer configuration, connected providers, support ownership and production evidence before rollout.

Review Cloud responsibilities
1

HelpoSoft Cloud for managed application operations and predictable onboarding

2

Customer-controlled identity, knowledge, channels, automation and AI policy

3

Contracted enterprise controls for support, data location, recovery objectives and procurement evidence

Solution governance

Controls that keep the operating model accountable.

Name the business owner, support owner, security owner and integration owner for the operating model.
Define which system is authoritative for customer identity, account, billing and product data.
Approve service levels, escalation paths, customer communications and after-hours ownership.
Pilot one team, site or channel and reconcile the result before expanding the rollout.
Review access, automation, AI behavior, data retention and provider changes on a fixed cadence.
Procurement questions

Resolve scope before commercial approval.

1

Which customer journeys and channels are in the initial scope?

2

Which integrations are native, configuration-dependent, API-ready or planned?

3

Which data categories and provider accounts will enter HelpoSoft Cloud?

4

Which reports and evidence will confirm the solution is operating as approved?

Solution FAQ

Questions for Ecommerce teams teams.

Account-specific answers should be connected through an authenticated integration and protected by your access rules.

Yes. Copilot and AI governance instructions explicitly restrict unsupported refund or credit promises.
Enterprise evaluation pathContinue from page content to verifiable Cloud controls.
Product statusIntegration statusTrust CenterSecurity questionnaire
One customer support workspace

Bring every support conversation into one intelligent, accountable operation.

Start with live chat and tickets. Add AI, messaging, multi-site control and service operations when your team is ready.

Start freeBook a demo