Sena reports the direction consumer purchase is moving, and the dated transactions behind it, from real-world signals.
A risk register catalogues what could interrupt supply, and it is usually built looking upstream. Three patterns leave the demand end of the same chain unwatched.
Supplier concentration, single sourcing, geography, and compliance fill the register, and each one is scored on how supply could fail. Whether demand holds sits in a different meeting.
Where demand is watched at all, it is watched as forecast error. A miss becomes a number in a review, weeks after the period it describes.
Six weeks of a line absent in one outlet type looks identical to a category cooling. The register records softening demand, and the actual exposure is availability.
Sena is the decision AI with access to real-world data. It counts what consumers across a market purchased and records what each outlet held on the day, so a turn in demand surfaces from transactions as they happen.
Consumer purchase moves ahead of the order book, so a change in direction reaches the team inside the cycle it began in.
When buyers move to a competing line, Sena records the move and what those buyers gave as the reason.
Sena reports how much recorded category purchase sits in each market and outlet type, so exposure is measured where the demand sits.
Supply chain risk management identifies what could interrupt the flow of goods, scores each exposure, and puts a response behind the ones worth funding.
| The exposure | Who owns it | |
|---|---|---|
| Cyber and third-party risk | Compromise reaching an organization through a supplier, a component, or a software dependency. Often written C-SCRM. | Security, compliance, and procurement, working to published federal frameworks. |
| Operational and commercial risk | Interruption to the flow of goods, or to the demand those goods were made for. | Supply chain, planning, and commercial. |
Five categories cover most registers, and the last of them is usually the thinnest.
The demand-risk picture rests on four collected inputs, applied per market.
| Input | What it answers |
|---|---|
| Receipts | What buyers purchased across the category and when, so a turn shows up in transactions. |
| Store captures | What each outlet held on the day, which separates an availability exposure from a demand one. |
| Geo-verified photos | A photograph of the outlet as it stood, carrying its market and its date. |
| Stated preference | Where buyers say they moved and why, which names the exposure in words a register can carry. |
The team’s own numbers form a separate row. Order books, service level exports and the register itself join through 250+ integrations, so an internal score sits beside the market moving around it.
Four conditions decide whether a warning arrives in time to be worth acting on.
A shipment record moves after demand does. Purchase moves with it.
A fall from an empty outlet asks for a supply response. A fall in wanting asks for a commercial one.
A market total absorbs a format collapsing inside it, and the exposure lives at the format level.
A warning taken to a steering meeting holds up when the figure opens to the transactions underneath it.
Sena reports the demand end of the chain: what buyers purchased, where they moved, and what each outlet held. Supplier assurance, cyber exposure, freight interruption, lead times, and geopolitical scoring stay with the systems and frameworks built for them, and Sena sets its answer beside them. Demand is the category Sena can evidence with a dated capture.
Real people share what they buy and prefer, under explicit consent. Sena captures it directly at the source, so every figure traces back to where it came from whenever a number comes under question.
Consented purchase supplies the signal, and every capture carries the market and the day it was taken.
Purchase turns first, so the warning arrives while the period it affects is still open.
Captures separate an availability exposure from a demand one, so the response matches the problem.
Any warning opens to the weeks of purchase and the outlet photographs that produced it.
A warning carries weight only as far as the signal underneath it. Sena builds every figure from real-world signals captured when the question needs it, from consumers purchasing across the category through to the dated capture a steering meeting opens.
Counts what buyers purchased across the category and when, including purchases made from every other player, so a turn appears in transactions.
Reads what each outlet held off images captured in real outlets, which separates an availability exposure from a demand one.
Signal arrives from the consumer network under explicit consent. Where buyers moved and why is stated by those buyers.
Order books, service level exports, and the register join over 250+ integrations, so an internal score reads against the market around it.
Every signal holds its market and its capture date, so a warning reopens on the evidence it was raised from.
Historic registers, reviews, and movement exports load in, so every period the team has scored sits together.
Four teams read the same exposure, and each one needs a different cut of it before they can act.
The register. Needs the demand category scored on evidence, where variance arrives late.
The period. Needs a turn surfaced while the cycle is still open.
The market. Needs the reason buyers gave when they moved.
The escalation. Needs a warning that opens to transactions in the room.
The same demand signal, read against whatever each industry treats as a line.
Category purchase turning per format, with the weeks a line ran absent recorded beside it.
Buyers moving between specifications and price bands ahead of a replacement cycle.
Pack sizes running absent at the counter and where the demand for them went.
Subscribers moving between operators and tariffs, period over period.
One mechanism, applied per market and per category. Each step is documented, which is what lets a warning survive an escalation.
Real contributors share what they buy and pay under explicit consent and record what each outlet held in the markets named.
Sena tracks recorded purchase per market and format, with availability alongside it, and reports the direction each is moving.
A turn surfaces with the transactions and the captures behind it, dated to the weeks it occurred.
Most registers score demand risk on forecast variance, which measures the exposure once it has already been realized. Sena watches the transactions themselves.
| Capability area | Typical setup | Sena |
|---|---|---|
| The demand signal | Forecast error, reviewed after the period. | Recorded category purchase, dated per market. |
| When a turn surfaces | Once it enters the history. | In the cycle it began in. |
| Cause of a fall | Inferred and argued between teams. | Kept apart, with the outlet reading taken that day. |
| Where demand went | Estimated from share movement. | Counted, with the competing line named by category. |
| Why buyers moved | A hypothesis in the review. | The reason those buyers stated, per market. |
| Concentration | Measured on the account base. | Measured on recorded purchase, per market and outlet type. |
| Evidence in an escalation | A slide describing the method. | Click the figure and the transactions open under it. |
Three situations where a dated transaction reaches the register before the exposure does.
Watch recorded purchase per format, so a segment moving down surfaces while the period is still open.
Read how much recorded demand sits in each market and outlet type, and where a single point carries too much.
Set the weeks a line ran absent against what buyers purchased in them, so the response matches the cause.
A scored exposure names what to watch. The four decisions below are what a supply chain team runs around it.
Every supply chain decision Sena answers, in one place
Whether the product arrived
Records what each outlet held, which tells an availability exposure from a demand one.
Explore supply chain visibility 02Acting on the warning
Turns a turn in recorded purchase into what to hold for the period ahead.
Explore demand planning 03The picture behind a score
Explains what a service level figure describes once the outlet is in view.
Explore supply chain intelligence 04Rebuilding after a shift
Rebuilds route and cover once demand at the buyer has moved.
Explore supply chain optimizationThe walkthrough tracks recorded purchase for one category in one market across a period, records what the outlets held alongside it, and opens the transactions behind any turn while the team watches.
Name the category and the market you are uneasy about, and we will read the demand end of it.