SpotOn
Know exactly what to do next. In the traditional channel, the distance between the plan and the shelf is where the strategy gets lost. SpotOn turns what you decided in planning into the specific stores each rep visits tomorrow and what to do in each one, with every level of the commercial structure executing the same strategy and measured on what their own role controls.
The strategy fails in translation
Your commercial strategy fails twice in the traditional channel. Network Expander closes the first failure, the market you can neither see nor rank. This is the second one. A decision made in planning has to travel through a director, a supervisor and a rep before it becomes something that happens in a store, and every handover costs a little of it.
Direction gets diluted on the way down
What was a specific commercial priority becomes a general instruction by the time it reaches a route. Each level reinterprets it against a different spreadsheet, and no two versions of the week fully agree.
The costThe plan that runs in the field is not the plan you set.
What actually happened comes back too late to fix
Execution is reported on paper, in chat threads, or at the end of the month. By the time a store going off-route is visible to anyone who could act, the week it belonged to is over and so is the chance to recover it.
The costNo signal on whether your decisions are working at all.
The most valuable insight is worthless if it does not survive the journey from the director’s screen to the shelf.
The route is an output, not an opinion.
The same proprietary models that built the universe decide the route. What a rep opens in the morning is their output, ordered by what each stop is worth, not a supervisor’s best guess at the end of a long week.
A route has always been somebody’s judgement. A supervisor’s read of the territory, last year’s map, or the order the stores happen to fall in on the way home. SpotOn does not ask anyone to make that call better. It takes the call away.
Underneath every screen are the same proprietary models that built the universe. They have already worked out which stores are not being served at all, what each store could buy, how likely it is to be lost, and how often it is worth visiting. The route a rep opens in the morning is the output of that calculation, ordered by what each stop is actually worth rather than how easy it is to reach.
That is the difference between intelligence and a dashboard. A dashboard puts numbers in front of a supervisor and leaves the decision to them, usually at the end of the week, when it is already history. The model decides first, and hands the decision to the person who has to act on it, in the only form they can act on: this store, this order, today.
A rep does not open a dashboard. They open a day.
Stops in order, what to do at each one, and one or two taps to close it.
Intelligence at every level
The strategy does not change between the planning meeting and the shop doorway. What changes is what each role has to do about it, so everyone gets a view built for their own decision, with the metrics that role is measured on. One plan underneath, a different execution on top.
Opens the day to a routed list of stops on a map, ordered by what each store is worth rather than what is convenient. Each stop carries task-level direction: what to check, what to sell, what to fix on the shelf. Reporting back is one or two taps at the door, not a form filled in at night.
Sees execution against plan as it happens, so a rep running behind or a store dropping off route is visible the same day rather than at month end. Exceptions can be reassigned while the week is still recoverable, which is the difference between managing a team and reading about it afterwards.
Sets a target anchored to real potential rather than last year plus a percentage, hands it down, and then watches whether it reached the store. SKU distribution against strategy, predicted against actual while a campaign is still running, and where the gap between decision and execution is widest.
One strategy, not three interpretations of it.
Every role is executing the same plan, so direction does not change shape on the way down and nobody spends the first hour of a meeting reconciling three versions of the same week. When the rep closes a store, the supervisor and the director watch it move against the target they set.
Built for the conditions it actually has to work in.
The usual reason this kind of project fails is that it watches the field without giving the field anything. SpotOn is built the other way round. The rep gets the stores worth their time ranked first, a route that earns more in the same day, and exceptions reported in one or two taps instead of a form filled in at night. The supervisor gets their week back. The director gets a read they have never had. None of that depends on a mandate. A rep opens it because the day it gives them is better than the day they would have worked otherwise, and that is the only kind of adoption that holds.
It sits above the app you already run.
A field sales app records that a rep was at a store. That is a record of activity, not a decision about where the activity should have gone. SpotOn is the intelligence layer on top: it chooses which stores matter and what to do at each one, and it can feed those decisions straight into the SFA or CRM you already have rather than replacing it.
Built for a phone in a shop doorway.
The rep view assumes one hand, a few seconds and an unreliable signal, because that is the real condition of the job. Nothing in it asks a rep to read a dashboard or work out the model behind the ranking. It tells them where to go and what to do there.
What the field reports feeds the models
Execution is not just the end of the process, it is the best data source in it. What each store actually ordered, what was on the shelf, whether it is still open and still buying: all of it goes back into the potential estimate, the churn risk and the visit frequency behind Network Expander’s ranking. So the universe gets more precise the longer your team works it, and the next decision starts from better ground than the last one.
That closes the second failure. The first one is where the universe comes from.
Execution is only as good as the intelligence behind it. Engine 01, Network Expander, runs three commercial plays and six models on the complete market picture: the stores you do not serve yet, what the rest could be buying, and which of them is about to stop.
Questions commercial teams ask
Will our reps actually use it?
That is the right question to ask, and it is usually why this kind of project fails. SpotOn is built so the rep gets something back rather than simply being monitored: the stores worth their time ranked first, a route that earns more in the same day, and exceptions reported in one or two taps. It is not another mandatory tool competing for attention at the end of a shift. It optimises the day a rep was going to work anyway, which is why it gets opened without anyone enforcing it.
Does this replace our field sales app?
No. It sits above it as the intelligence layer. Your app records what happened; SpotOn decides where the activity should go and what to do at each store, and it can feed those decisions into the SFA or CRM you already run. They track. We decide.
What does each role actually see?
The rep sees a routed list of stores with task-level direction per stop. The supervisor sees execution against plan in real time, with exceptions they can reassign the same day. The director sees SKU distribution against strategy and whether the decisions made in planning reached the shelf. All three are executing the same strategy, each measured on what their own role controls.
How does this change what a supervisor does day to day?
It moves them from reconstructing the week afterwards to steering it while it is happening. Instead of collecting reports and assembling a picture on Friday, they see coverage against plan on Tuesday and can move a rep before the week is lost.
Turn the strategy
into tomorrow’s route
A 30 minute call, then an audit of one territory, so you can put a number on the opportunity you are not working yet.
Talk with an expert
Tell us how execution reaches your field team today, and what comes back.
We will walk you through how the same week runs when every role works from the same ranked data.