ECOMMERCE PLATFORM OPERATING SHELL
A workflow for merchant onboarding, pricing rules, consumer negotiation, AI pricing intelligence, analytics, and platform integrations.
Manage the active eCommerce platform session, reopen saved work, and keep merchant, pricing, negotiation, and reporting context in one place.
Connect the merchant surface first. Capture store, catalog, segmentation, and launch constraints before the pricing engine goes live.
Design the pricing rule engine, then preview conflicts and historical impact before activation.
Define merchant-controlled floors, ceilings, target margins, segments, and negotiation guardrails.
Preview historical rule outcomes, identify collisions, and decide whether to use shadow mode before go-live.
Operate the live negotiation console with visible approval thresholds, escalation controls, and audit discipline.
Define session visibility, auto-approval bands, and the live queue posture the merchant team wants to operate.
Capture hard-stop triggers, approval exceptions, and the audit trail model for every negotiation session.
Shape the consumer-facing experience: chat entry point, voice behavior, remembered session context, and engagement mechanics.
Define greeting style, remembered session context, counteroffer behavior, and fallback bundle suggestions.
Capture urgency mechanics, rewards, mystery offers, and social proof rules by product category.
Turn merchant and consumer inputs into AI pricing intelligence, merchant analytics, and profile-driven platform learning.
Define scoring signals, external context, plain-English decision explanations, and A/B pricing strategy tests.
Define the merchant-facing dashboard: negotiation volume, acceptance rate, discount depth, funnel drop-off, and margin views.
Define stored session history, customer segments, storefront integrations, and admin/billing controls.
Keep platform adapters agnostic. Configure the providers in Settings, then use this tab as the launch point for tickets, information radiators, and integration packets.
Connect a ticketing system in Settings. Example: Jira.
Connect an information radiator workspace in Settings. Example: Confluence.
Package storefront, API, webhook, and admin integration context into a reusable implementation packet.
Configure the integration target in Settings, then generate a reusable packet from the active commerce session.
User-level credentials override server config. Leave a field blank to keep the current stored value.
Keep the shell agnostic. Define the ticket workspace and information radiator workspace here, then the Reporting tab will use these settings.
Define the integration target once, then commerce sessions can generate an implementation packet and launch the destination from Reporting.
Connected. Tap a skill or say “Hey SassiE”.