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What does.

Anyone can build a chatbot.
is infused everywhere.

ZITCHAi takes a plain-language brief and builds the media plan from your network’s real performance — optimizing to product margin, sell-through, media margin, or ROAS, wherever your retailers are ready to start.

See ZITCHAi at work → Watch it work ↓
Live network data
Recommended allocationIllustrative
  • Sponsored products36%
  • Onsite display22%
  • Offsite social18%
  • In-store screens14%
  • CRM & email10%
Ad sets built29
Approx. build time10 min
Margin vs target Sell-through velocity Plan created
Tap the brief to replay

Just ask.

From one brief to a complete media plan.

  1. 01

    Takes a natural-language brief.

    The starting point is the commercial outcome, budget and planning horizon.

    “$250k, build a 2027 plan maximizing sales + network media margin.”

  2. 02

    Pulls real network performance.

    ZITCHAi brings revenue versus goal and margin versus target into the planning conversation before it recommends a channel.

  3. 03

    Shows the performance evidence.

    Every format's modeled ROAS is compared with the network goal. ZITCHAi also identifies the explicit avoids — the formats not to fund.

  4. 04

    Builds the recommended allocation.

    A channel-by-channel table accounts for the full budget and gives the rationale behind every line.

  5. 05

    Shapes the plan around retail moments.

    Seasonal flighting puts the recommended allocation into the moments when the network and advertiser need it.

  6. 06

    Makes the retailer's margin case.

    Auction formats earn margin per click. Fixed-price placements run near 100% margin once booked. ZITCHAi brings both into the plan alongside advertiser sales.

  7. 07

    Asks for approval at every consequential step.

    Plan creation and ad-set batches arrive with evidence and a clear approval. ZITCHAi proposes; the user decides.

  8. 08

    Builds, then checks its own work.

    In the live demonstration, ZITCHAi built 29 ad sets in about 10 minutes. It also flagged an unbookable placement when inventory pricing did not extend far enough and gave concrete next steps.

How it thinks

Two levers. One retail media plan.

Sales for advertisers

Channel performance, the network goal and seasonal moments shape an allocation designed to move products for the advertiser.

Margin for the retailer

Auction economics and fixed-price placement margin give the retailer's commercial outcome equal weight in the recommendation.

The control model

AI proposes with evidence. You decide.

One-tap approvals sit at every consequential step — plan creation and ad-set batches included. Nothing is assumed. Nothing is auto-launched. The human stays the decision-maker.

Human approval path

  • Plan recommendation Approved
  • Plan creation Approved
  • Ad-set batches Approved

Merchant decisioning

Merchant data, directly in the decision.

Live merchant signals shape the plan itself, connecting every recommendation to the retailer outcome.

Decision input

Live

Sell-through velocity

Live product movement becomes a planning input, so recommendations can account for how quickly lines are selling.

Decision input

Live

Inventory levels

Current stock position feeds the plan directly, connecting media allocation with what the retailer can sell.

Decision input

Live

Product margin

Merchant margin data becomes part of the recommendation wherever the retailer is ready to make it available.

Book a demo

See it build your plan. Just ask.

Bring a real brief and watch ZITCHAi turn it into a recommended plan, with the evidence behind every line and an approval at every step.

Show me how you'd plan $250k for our 2027 calendar.
Book a demo
  • Bring a real brief
  • See the evidence behind every line
  • You approve every step