Primal / E-commerce

The agent-first operating system for e-commerce.

Connect your store’s data, campaigns and team. Find the causes, set priorities and carry decisions through to results with agents.

Find my product’s next move Data → decision → work → results

One product. The whole workflow.

Illustrative workflow · sample data
  1. You ask

    “Why isn’t my product ranking higher?”

    SKU 024 / Wireless headphones Shopify + marketplace

    Primal builds the product picture
    Price & contribution
    Delivered price is close to competitors. A discount would squeeze already thin contribution after ads and refunds.
    Traffic & delivery
    Part of the budget goes to broad queries. The delivery promise is slower than competitors; nearby inventory is limited.
    Search & AI answers
    The product page lacks specifications and answers covered by competitors. Test these gaps alongside price, availability and conversion.
    Priority: delivery → traffic quality → product page. Hold the price for now.
  2. You set the priorities

    “Fix delivery and ads. Keep the budget fixed.”

    Primal records the goal, budget and review criteria. Approved actions become tasks.

  3. Work starts

    Agents and people work from the same context.

    Each assignee has the product data, conversations and the manager’s decision. Agents carry out approved routine work; exceptions and approvals go to the team.

    Ad agentFix the product campaignsAgent

    Review queries and creative. Prepare exclusions and revised ads within the approved budget.

    Context

    Google Ads, Facebook Ads, Shopify and Stripe contribution, and the manager’s spending limit.

    Manager: “Keep total spend fixed. Compare contribution after refunds.”
    Content agentPrepare product-page changesAgent

    Draft description, specification and FAQ updates using search queries and SEO/GEO audits.

    Context

    Brand materials, reviews, your product page and competitor pages.

    Editor: “Use only specifications verified in the catalogue.”
    Alex · e-commerce leadResolve delivery and approve the changesTeam member

    Confirm the supplier date, coordinate delivery terms and review the content before publication.

    Context

    Procurement history, inventory, supplier conversations and the agents’ drafts.

    Agent: “Price is already competitive. Check delivery and availability first.”

    Discussions, edits and results stay with the task. The agent continues with the team’s decisions in context.

  4. Two weeks later

    Work completed. Changes visible.

    Before / day 1

    • Broad campaign targeting
    • Missing specifications
    • Unconfirmed delivery date

    After / day 14

    • Queries and ads updated
    • Product-page changes published
    • Delivery date confirmed and updated

    Primal compares search visibility, AI-answer mentions, conversion and contribution with the original snapshots, and flags where evidence is still limited.

  5. Report & next move

    Every result informs the next decision.

    You get a report: what was done, what changed and what to test next. The model learns from outcomes and team feedback to prioritize the next round of work.

Organize work around AI

Set the direction. Your team and agents move the business.

01

Choose what matters first

Weigh opportunities against contribution, demand, availability and team effort.

02

Start work from the decision

Assign an agent or a person with a goal, shared context and execution rules.

03

Build on your company’s experience

Use previous task outcomes and feedback to shape future recommendations.

Start with one product

Where is your product leaving growth on the table?

Send a product link and a question. In a working session, we’ll connect the available evidence and map the next actions for your store.

  1. Causes and hypotheses backed by source data
  2. Priorities and tasks for agents and your team
  3. Metrics and a baseline for checking the result

We’ll follow up to scope the question and the data for your session. Privacy notice