Veora Advisory

Your team has been told to adopt AI. We give you the starting point.

Agentic AI systems for how you go-to-market - price, promote, market and sell. Built with your team.

The problem

Your business makes thousands of commercial decisions a week. What to charge this customer. Which promotion to run. Which message to communicate. Which asset to proceed with. How much stock to hold. Most of them are made on instinct, on last month’s data, or too late to matter.

AI can make those decisions sharper and faster. The hard part is knowing which ones a machine should make, which ones should stay human, and which one to start with. That judgment sits where commercial ownership meets AI system design. Very few people hold both.

We do. That is the whole firm.

What we do

We build the AI systems your commercial teams run on.

  • Pricing.Personalized pricing by customer and segment, on a rhythm, grounded in data.
  • Promotions.Designed and measured before and after, so spend stops leaking.
  • Marketing and sales.Faster to market, sharper targeting, shorter cycles.
  • Products you can monetize.Market intelligence and self-serve tools your brand partners will pay for.
  • Demand.Forecasting and inventory calls that lift fill rates and cut cost to serve.

Find the starting point. Build it with your team. Leave it running.

Who leads Veora

Vaishali Aggarwal, founder of Veora Advisory

I’m Vaishali Aggarwal. For 16 years, I’ve built and run consumer businesses (eCommerce, FMCG, digital content etc.) at Amazon and P&G across Asia.

What I’ve learned is that the hardest part of growth is rarely finding more data or another tool. It is turning what you know into better decisions, and making those decisions repeatable across a team.

I built Veora to do exactly that: bring commercial judgement and AI together to build systems that solve real business problems and keep working after the engagement ends.

Approach

Five stages. Every engagement runs all five.

  1. Understand.

    Time with your founders, your function leads and the people doing the work, to find the decisions worth changing and the one worth changing first.

  2. Architect.

    The system designed around those decisions, including what stays human and why.

  3. Build.

    AI agent logic designed, then built into your business. We work as forward deployed, alongside your data and engineering teams. If you do not have them, we bring ours. Not having an engineering team is not a reason to wait.

  4. Evaluate.

    Every AI agent ships with an evaluation framework and a full round of testing to ensure it is reliable before anyone relies on it.

  5. Deploy.

    Your function leads run it against real work. We iterate on what they find. Then it goes live and your team owns it.

Proof

Growsari

B2B eCommerce platform serving sari-sari stores across the Philippines. KKR portfolio company.

  • 20%productivity gain across the commercial team
  • 2 weeks to minutesfor a full pricing analysis
  • Personalized pricing for each customerto maximize business returns

Agentic AI systems for pricing and promotions - designed, built and deployed with their teams.

Shiv Choudhury

“We knew AI had to change how we run pricing. What we did not have was a first move and the simplified user interface to bring forth complex decisions. Vaishali gave us the first move in days, and built with us to give the system in weeks.”

Shiv Choudhury Co-founder & Board Director, Growsari Growsari

You do not need an AI strategy. You need one system that works, and a team that knows how to run it.

Find the starting point. Build it with your team. Leave it running.