Your systems hold nothing about a market you have yet to enter. Sena reads the shelf there, asks the shoppers there, and returns the gap your portfolio can actually fill.
The decision needs market facts. Your systems hold facts about your other markets.
Which products to enter with, at what price, in which channel, and which gap to aim at.
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Sena, the Decision AI from Rwazi.
Decision AI with access to real-world dataEntering a market raises five plain questions. Who is already there, at what price, what do shoppers want, what does the retail footprint allow, and what should you arrive with. Every answer exists. None of them exists in your systems.
Revenue, share and price by SKU, all of it accurate, all of it from somewhere else. A category that behaves one way in your strongest market can behave another way in the one you are entering, and your history says which of the two only after you commit.
It sizes the category and ranks the players at category level, which is the right altitude for a board paper. The entry decision happens at the level of a price point, a pack format, and a channel, and that is below where the number lives.
Somebody senior went, walked some stores, and came back with an impression. It is real evidence about the places they stood in, and it carries the weight of a market read.
So the decision gets made on a category estimate, a per-capita proxy, and a recollection. The mistakes surface after the capital is committed, which is the expensive order to learn them in.
Sena Computer Vision reads the stores in the market you are entering: which products hold the shelf, at what price, in what pack formats, in which position, across the channels you are considering.
Sena Consumer Activity asks shoppers in that market what they buy now, what they would switch to, what is missing, and what they would pay. Every answer is zero-party data from the market itself.
Sena reads both against your catalogue, your cost structure, and your margin targets, so the shortlist holds only products you can supply at a price that works.
Sena finds where demand runs ahead of what the shelf offers, and where your portfolio can serve it. That intersection is the entry opportunity, and it comes with the competitor most exposed to it.
Sena returns the entry assortment, the price architecture, the channel order, the store targets, and the positioning, each carrying the market reading behind it.
See the market you are entering as it is today
See how Sena reads a new market →An entry can be a new geography or a new channel inside one you already serve, and the same reading applies to both, since a channel you are yet to sell into is as unmapped as a country.
| Capability | Role in this use case |
|---|---|
| Sena Computer Vision | Core. It reads the shelf in the target market: who holds it, at what price, in which formats and positions. This is the reality check every entry plan rests on. |
| Sena Consumer Activity | Core. It collects stated demand from shoppers in that market: what they buy, what they would move to, and what they would pay. Zero-party data from the population you are entering. |
| Sena (Decision AI) | Core. It reasons across the shelf read, the demand read, and your own catalogue and costs, finds the gap you can serve, models the entry, and returns competitive benchmarking for the market. |
| Sena Connect and Integrations | Core. Brings in your catalogue, cost structure, margin targets, and performance from existing markets, by CSV or Excel upload. |
This is the one use case where Rwazi’s reads carry the market truth on their own, because a market you have yet to enter leaves your systems empty on it.
Your catalogue, your costs, your margins, and how the portfolio performs where you already sell. All of it needed, none of it about the new market.
The shelf and the shoppers in the target market, read directly, at the level the decision is made: a price point, a pack, a channel.
The assortment you enter with, the price you set, the channel you open in, and the size of the first commitment.
The core user. Build the entry case on market readings, where category estimates and proxies stand in today.
Strategy solutions →Rank the candidate markets on evidence, and enter the strongest one first.
Position for the market you are entering, using what shoppers there actually said, ahead of adapting a campaign built elsewhere.
Set the channel order and the store targets against the retail footprint as it is.
Sales solutions →Model the entry economics on real local prices, real competitive density, and measured demand.
A demo takes about 20 minutes. For most use cases, the first decisions land days after kickoff.
Both readings happen in the market you are entering, before you hold a single row of your own from it.
The gap gets filtered through your cost structure and margin targets, so the recommendation is one you can actually supply.
Know what sits beside your products in every store.
See the use case → UC · Consumer UnderstandingTest a new product with real shoppers in your target market first.
See the use case → UC · PricingSee the real in-store price of your products in the markets you sell in.
See the use case →Tell us the decision you are weighing, and we will bring the market read to the conversation.
Bring the decision in front of you and we will run the first read against it on the call.