TECHNOLOGY · MISSION CONTROL

Your brand. Our AI ops team.
24/7 in the GCC.

Mission Control is the AI-powered operations platform we built to run FMCG brands on Talabat, Noon, Amazon, and Careem. Three virtual employees execute the daily work. One human keeps them honest. Your brand is managed with the precision of an enterprise team — at the cost structure of a lean startup.

THE PROPOSITION

While other consultancies analyze last month, our agents have moved on.

Most agencies manage portfolios in spreadsheets and PowerPoint. That works at 5 SKUs. It breaks at 50, and is unworkable at 200. Stock falls between cracks. Listings drift out of date. Ads run with no view of LPO performance. Brand owners 5,000 km away find out a week late.

We replaced our own spreadsheets with Mission Control over six months. Today it runs three AI agents on dedicated infrastructure, executing the routine work — forecast updates, stock alerts, content audits, daily briefings — and surfacing decisions before they become problems.

PLATFORM MODULES

Built for the way Q-commerce actually works.

22 dashboard tabs. 31 connected database tables. One source of truth across forecast, stock, content, ads, and reports.

01 · COMMERCIAL

Brand performance, live.

LPO value, invoice value, commission, and service-level % rolled up by brand, client, and customer — and filterable to month-to-date, year-to-date, or any custom window. The exact view we use to spot a service-level drop the morning it happens, not the Monday after.

  • LPO value · Invoice value · Commission · Service level % — in one chart
  • Brand / client / customer drill-down
  • Month-to-date and year-to-date roll-ups
  • One-click PDF brand report (was 3–4 hours per brand per month)
Mission Control — Brands dashboard with LPO, invoice and service-level tracking
02 · SUPPLY CHAIN

Forecasting that catches gaps before stock does.

A 12-month rolling forecast per customer-brand pairing, built on a weighted moving average with calendar uplift — re-computed live, per SKU, per platform. Predictive alerts fire at 7 and 14-day cover, so you act on tomorrow's stock-out, not yesterday's.

  • Per-SKU INV qty, PO qty, fill % — month by month
  • Auto-flagged service level: green >90%, amber 70–90%, red <70%
  • Customer × Brand pivots (Al Mudhish × Talabat, × Noon, × Careem…)
  • 7 / 14-day predictive cover alerts before MSL gaps hit
Mission Control — 12-month demand forecast with service-level tracking per SKU
03 · CONTENT

A living brand book — and a content scorecard for every SKU.

Structured profiles for every brand — category, positioning, target market, manufacturing, CEO notes — paired with the live SKU grid. Muse, our content agent, reads packaging images, auto-fills product briefs, and runs a nightly completeness audit so nothing rots in a draft state.

  • Structured brand profile: category, positioning, target market, manufacturing
  • Per-SKU content scorecard (e.g. 5/6 fields complete)
  • Auto-fill from packaging images via local vision LLM
  • Nightly content completeness audit — was a quarterly review meeting
Mission Control — brand content profile and SKU content completeness
04 · AI LAB

Three virtual employees. One unified system.

Athena, Nexus, and Muse run as named agents on dedicated AI infrastructure — not chatbot wrappers. They coordinate in a shared operations room, run on schedule (cron-driven, not prompt-driven), and route every meaningful change through a human approvals queue.

  • Athena · CEO Agent — daily 6 AM executive brief, evening strategy debates
  • Nexus · Supply Chain Manager — 5:30 AM supply chain briefing, Sunday deep reviews
  • Muse · Content Manager — packaging-image reading, nightly content audits
  • 2,000+ logged agent actions per month · full audit trail
Mission Control — AI agent organisation chart
A DAY IN MISSION CONTROL

The work that runs while you sleep.

Every entry below is a scheduled job — not a prompt someone has to remember to run.

05:30
NexusSupply Chain

Posts the daily supply-chain briefing to the operations room — 7/14-day cover alerts, MSL gaps by SKU, draft reorder recommendations awaiting human approval.

06:00
AthenaCEO Agent

Drops the morning executive brief: KPIs across all brands, service-level deltas, ad efficiency flags, the day's top three things the human team needs to decide.

09:00
MuseContent

Pushes overnight content updates to draft — auto-filled product briefs from new packaging photos, completeness scorecards refreshed per SKU.

18:30
Athena & NexusStrategy debate

The two agents debate the day's commercial vs. supply-chain trade-offs in a shared chat thread. The founder reads it on Element from the phone.

23:00
AutoresearchSelf-learning

50+ tests per night against ground-truth data. Failures and proposed corrections queue for founder review the next morning.

CONNECTED TO EVERY PLATFORM

One layer above the platforms.

Talabat MartTalabat Mart
Noon MinutesNoon Minutes
AmazonAmazon
Careem QuikCareem Quik
↑
Mantaga
Mantaga Mission Control
FORECAST · STOCK · CONTENT · ADS · REPORTS · APPROVALS
↑
LPOs from distributors
Stock-node feeds
Listing content
Ad-platform exports
Internal SKU master
BUILT FOR TRUST

Local by default. Self-learning by design.

This isn't a wrapper around someone else's API. It's a self-hosted AI platform running on dedicated hardware — every property below is something we deliberately chose to own.

100% local AI stack.

All inference runs on dedicated GPUs we operate. No cloud AI APIs. No data leaves the company. Total privacy, total cost control — and zero per-token inference cost.

Self-learning loop.

Inspired by Karpathy's autoresearch pattern: every night the agents test themselves against ground-truth data, surface their own failures, and propose corrections. The founder approves or rejects. Smarter every day — measurably.

Human-in-the-loop governance.

Every meaningful change — forecast updates, knowledge-base edits, content pushes — flows through an approvals queue. Agents augment our team. They never act unsupervised on yours.

Mobile-first operations.

Voice notes, voice transcription, per-agent text-to-speech voices. The founder runs the company from Element on a phone in a coffee shop — and you get the same precision you would from a war room.

Real autonomy, real schedule.

Cron-driven jobs, not prompt-driven theatre. Morning briefs, evening debates, forecast updates, content audits — they run on time whether anyone is watching or not.

Compounding knowledge.

134 captured agent learnings. The peer-reviewed knowledge base has evolved 100+ times. What we learn for one brand becomes infrastructure for the next.

PLATFORM STATS · MAY 2026

The platform, in numbers.

24+
Brands under active management
199
SKUs in master catalogue
31
Database tables modeling brands, stock, forecasts, LPOs, ads, content
22
Dashboard tabs across 5 functional groups
2,000+
Logged agent actions per month — full audit trail
50+
Self-tests run by the agents every night

How do you know what's actually happening with your brand 5,000 km away?

You log into Mission Control. Or you let our agents bring it to you. Either way — you stop guessing.

Book a Mission Control walkthrough →See our brand portfolio