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Kodif

AI agents for post-purchase support, order tracking, delivery protection, claims, returns, and warranties.

Kodif is a post-purchase customer experience platform that uses AI agents to resolve support requests across tracking, delivery protection, claims, returns, and warranties. Kodif serves ecommerce brands and customer support teams, works with existing helpdesks, and offers access through a demo booking process.

Updated 29 Oct 20266 sections

Kodif website screenshot

What is Kodif?

Kodif is an AI-powered post-purchase customer experience platform for ecommerce brands and support teams. Kodif combines support, order tracking, delivery protection, claims, returns, and warranties so agents can complete requests across those functions. The website describes a shared policy, memory, and audit trail rather than separate tools that require staff to transfer information manually.

Kodif focuses on resolving the operational work behind customer conversations, not simply answering questions. For example, an agent can investigate a shipment, file a claim, arrange a replacement, and communicate the outcome. Kodif also retains customer order history and past conversation details so returning customers do not need to repeat the same context.

What Kodif can do

Kodif combines customer-facing support automation with tools for configuring, testing, and reviewing agent behavior. Teams can define procedures in ordinary language, adapt existing playbooks, and inspect the actions taken during a resolution. Kodif also provides conversation scoring and commerce analysis using information from orders, shipments, claims, and support conversations.

  • Kodif converts natural-language SOPs into executable steps with inspectable tool calls.
  • Kodif provides playbooks for tracking requests, lost shipments, exchanges, cancellations, and address changes.
  • Kodif simulates policy changes against real historical tickets before deployment.
  • Kodif scores human and AI conversations against brand-defined criteria.
  • Kodif sets tone, response length, and escalation rules by channel.
  • Kodif answers commerce questions in plain language and shows the query used.

How Kodif works

Kodif lets teams start with prebuilt post-purchase playbooks or write their own procedures in natural language. Teams set thresholds, approval rules, and escalation conditions for individual actions. The AI Assistant can update a policy from a plain-language instruction, then replay historical tickets to show which conversations would change and where additional guardrails may be needed.

Kodif works inside existing helpdesks, including Gorgias and Zendesk, and writes resolution outcomes back to the original ticket thread. Kodif also connects with returns and tracking tools such as Loop and Narvar to read label status, start returns, and file claims. Each resolution identifies the policy consulted and the systems updated.

Who Kodif is for

Kodif serves ecommerce customer experience and support teams managing post-purchase requests. The described workflows address brands handling shipment exceptions, delivery disputes, returns, warranties, and repeated order-status questions. Kodif also supports teams that need consistent review of human and AI conversations or want to investigate operational issues using connected commerce and support data.

  • Kodif helps support teams investigate stalled tracking and lost-package reports.
  • Kodif handles return, refund, exchange, and warranty conversations.
  • Kodif helps managers compare human and AI conversations using the same quality rubric.
  • Kodif helps teams investigate damaged products, carrier replacement costs, and claim-related churn.
  • Kodif uses browsing and cart signals for proactive shopping assistance.

Kodif pricing and access

Kodif offers a demo booking process through the website, using a work email. The demo invitation asks prospective customers to bring a real conversation, such as a lost-package report, contested claim, or return outside the usual window, for a live demonstration. The supplied page does not list subscription prices, named plans, or a free tier.

Kodif strengths and operational controls

Kodif combines connected post-purchase actions with inspectable policies, historical testing, and existing-helpdesk compatibility. These capabilities support teams that want automation without moving their inbox. Kodif also makes approval rules and fraud checks part of the workflow: teams can apply order-value limits, repeat-claim checks, signed-statement requirements, and human review when a request needs additional scrutiny.

Kodif FAQ

What is Kodif?

Kodif is an AI-powered post-purchase customer experience platform for ecommerce brands. Kodif combines support, tracking, delivery protection, claims, returns, and warranties, with AI agents that handle the actions required to resolve customer requests.

Does Kodif replace Gorgias or Zendesk?

Kodif does not replace Gorgias or Zendesk. Kodif works inside the existing helpdesk, picks up tickets, resolves requests, and writes outcomes back to the same conversation thread so the support team keeps its existing inbox.

Does Kodif work with Loop and Narvar?

Kodif connects with existing returns and tracking tools such as Loop and Narvar. Kodif can read label status, start a return, and file a claim, reducing the need for staff to copy information between tools.

How do teams control Kodif AI agents?

Kodif lets teams write SOPs in plain language and set thresholds and approval rules for actions. Kodif shows the policy consulted and systems updated for each resolution, and supports guardrails such as repeat-claim checks and human review.

Can Kodif test policy changes before they go live?

Kodif can simulate policy changes against real historical tickets before deployment. Kodif shows which conversations would change, helping teams identify unintended outcomes and add guardrails before an updated procedure handles live requests.

How can a team get access to Kodif?

Kodif offers access through a demo booking process on its website using a work email. Kodif invites prospective customers to bring a real support conversation for a live demonstration; the supplied page does not list subscription prices.

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