Routine questions
Immediate answers from approved store contentManaged service
Managed AI assistant for ecommerce support and product discovery
This is a managed custom software workflow, not a standalone AI assistant subscription. FRAI builds or takes control of the software, then manages hosting, monitoring, support, maintenance and improvements. The assistant answers product, delivery and return questions and hands complex cases to your team.
Product discovery
Clearer navigation for shoppers with specific needsSupport workload
Fewer repetitive tickets when integrations allow01 — The constraint
Problems this service solves
Recognize the operational friction before choosing another tool.
- 01
Shoppers abandon a purchase because a simple question is unanswered.
- 02
Support repeatedly answers delivery, return, size and availability questions.
- 03
Large catalogues make suitable products difficult to find.
- 04
Order questions arrive through disconnected channels.
- 05
Support agents spend time on routine cases instead of exceptions.
02 — The system
What this managed assistant workflow includes
Designed as a maintainable operating capability, not a disconnected feature.
01
Product and policy answers
The assistant uses approved catalogue, delivery, return and help content and cites or links to relevant information where appropriate.
02
Guided product discovery
Shoppers can describe their need, constraints and preferences to receive relevant options without fabricated product claims.
03
Order support
With an authorised integration, customers can check order status and receive the correct next step for changes or returns.
04
Human handover
Uncertain, sensitive and exceptional cases go to the support team with conversation context.
05
Managed AI operations
FRAI manages hosting, access, monitoring, evaluation, backups, content updates and technical maintenance.
03 — Delivery
Implementation process
A visible sequence from scope to operation, with responsibility clear at every step.
- 01
Map questions and systems
We review the catalogue, policies, support history, channels and integrations.
- 02
Define sources and guardrails
We agree approved content, actions, privacy rules and mandatory human handovers.
- 03
Integrate and test
We connect selected systems and test common, ambiguous and unsafe requests.
- 04
Launch and improve
FRAI monitors answer quality, failures and operational performance after launch.
04 — Commercial signal
Expected outcomes
Operating indicators and targets are defined against your baseline, scope, and measurement period.
Routine questions
Product discovery
Support workload
Ownership
05 — Operating fit
Where the service connects and creates value
Supported integration areas
Connected systems and capabilities
- 01
Shopify, WooCommerce, PrestaShop, Magento and custom stores
- 02
Product catalogues and stock systems
- 03
Order and carrier tracking APIs
- 04
Zendesk, Gorgias, Freshdesk and HubSpot Service
- 05
CRM, email and marketing automation
- 06
WhatsApp Business, web chat, APIs, webhooks, n8n and Make
Best-fit use cases
- 01
Stores with frequent pre-purchase product questions.
- 02
Catalogues that require guided filtering or comparison.
- 03
Support teams handling repeated order and return enquiries.
- 04
Ecommerce businesses that need monitored AI rather than an unmanaged widget.
06 — Commercial boundary
Where this service fits — and where it does not
A useful service page should make the buying boundary explicit before a proposal is discussed.
Best fit
- 01
Ecommerce teams combining product questions, policies, order support and controlled human handover.
- 02
Stores with approved catalogue and support sources that FRAI can monitor and maintain.
Not the right fit
- 01
A marketplace-only search interface with no wider support scope.
- 02
An autonomous sales agent allowed to invent claims, prices or policy exceptions.
07 — Applied contexts
Ecommerce examples
The same operating logic, adapted to the constraints and decisions of each sector.
Fashion
Explain approved size and return information and guide shoppers through product filters.
Specialist retail
Find compatible products using structured catalogue attributes.
Home and lifestyle
Compare relevant products without inventing specifications.
08 — Decision support
Options compared
A practical view of what changes when the service is built around your workflow.
FAQ page vs managed assistant
- A FAQ requires shoppers to search; the assistant retrieves the relevant approved answer.
- A managed assistant is monitored and updated as store information changes.
Unmanaged AI widget vs FRAI service
- An unmanaged widget can drift; FRAI defines sources, tests behaviour and maintains integrations.
09 — Before we start
Frequently asked questions
Direct answers to the questions that usually determine fit, scope, and responsibility.
01Can it access customer orders?+
Only through an authorised integration with appropriate identity and access controls.
02Can it invent product information?+
The system is configured to use approved sources, disclose uncertainty and hand off when information is missing.
03Does it replace support staff?+
No. It handles suitable routine questions and sends exceptions to people.
04Who updates and monitors it?+
FRAI maintains the technical service and agreed content and integration changes.
The operating boundary
Give ecommerce customers useful answers without adding support queues
We will review your catalogue, repeated questions and systems and define a managed assistant with clear limits.
No generic package. No disconnected pilot. One accountable path from scope to operation.