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JETWORKSAI

Marketing operations

One platform running every brand.

A marketing agency running a portfolio of e-commerce brands, each with its own store, ad accounts and email program. We built the platform the whole portfolio now runs on: live channel data, revenue forecasting, creative production and reporting in one place, with AI taking the first pass at the work nobody should be doing by hand.

SectorMarketing operations
EngagementDiscovery, design, build, ongoing improvement
DisciplinesAI systems · data & forecasting · integrations · custom software
ShapeMulti-brand operations platform with AI assistants

01 / The problem

Every brand ran on its own pile of tools, and the real work was done by hand.

Store, ad accounts and email, each in its own tool, for every brand. Seeing how a brand was pacing meant logging into four or five of them and piecing it together.

Forecasts were built in spreadsheets, reports rebuilt by hand, creative briefs written from scratch. Every new brand meant doing all of it again.

Channel datastore, paid ads and email, one login eachfour+ tools
Forecastingrebuilt by hand in spreadsheetsbrand by brand
Reportingassembled and sent by handdone and redone
Creative briefsmanual ad research and write-upsevery time
Brand contextscattered across tools and peopleno single home

02 / The platform

One platform holding every brand in the portfolio, each with its channels connected live, plus the tools the agency runs on: forecasting and pacing, a creative studio and reporting, driven by an AI assistant working from each brand's own data.

Pick a brand. Everything follows it.

portfolio workspacelive
brands
shared across the platformLive channel dataForecast engineCreative libraryAutomated reporting

Brand A, every channel in one place

store, paid ads and email connected live
connected to this brand
Storeliveorders & revenue
Paid ads · Metalivespend & performance
Paid ads · Googlelivespend & performance
Email & SMSlivesends & revenue
ask the brand’s assistant
“How did we pace last week against target?”Revenue is tracking a little ahead of plan for the month, carried by paid social. Email is behind pace. The last two sends were soft on click-through. New-customer orders are on target; returning orders are slightly light.
what it works from/This brand’s live store, ad and email data, pulled the moment you ask/The month’s revenue target and the daily pace needed to hit it/Which channel every order and every dollar of spend came from/Read-only by design: the assistant reports, it never changes a campaign

Illustrative walkthrough. Brand labels and figures are representative, not client data.

03 / How it was built

Shipped in stages, in the order that removed the most pain.

01

Discovery inside the work

We sat with the team and mapped where the data actually lives and how the work really flows across the store, the ad platforms and email, including the workarounds nobody had written down.

02

One connected workspace per brand

Every brand's store, ad accounts and email brought into a single, isolated workspace, credentials kept separate per brand, so the platform had one true, live picture to work from before any AI was layered on.

03

Forecasting and daily pacing

The deepest build: a revenue forecast the team can adjust and re-run, returning-customer predictions modelled from each brand's own history, and a daily view of actuals against plan.

04

Creative studio and reporting

A creative studio for the work that used to start from scratch: AI-generated ad concepts, a video asset library, storyboards, and an email and SMS calendar with briefs drafted from each brand's own data. Reporting runs itself: pacing reports and alerts that send on schedule, kept in one place the team can see.

04 / What changed

Every brand now runs in one place, with the forecasting, reporting and creative work driven from live data. AI takes the first pass while the team keeps every decision.

BeforeLogging into four or five tools to see how a brand was pacing
NowOpen the brand and see it, live
BeforeForecasts built by hand in spreadsheets, brand by brand
NowA forecast that updates from each brand's live data
BeforeReturning-customer revenue was an educated guess
NowReturning revenue modelled from the brand's own history
BeforeReports rebuilt and sent by hand
NowPacing reports and alerts that send themselves
BeforeCreative briefs researched and written from scratch
NowAI drafts the first pass, the team refines it

Tell us what you want to improve.

Start with what you want to improve. You don’t need a brief or a solution in mind.