Introducing Lighthouse Signals. A sixth sense for your market that identifies opportunities before they are obvious, spots risks before they become losses, and guides your teams toward the actions that matter most. Because in FMCG, the winners aren't the companies that see first, they're the companies that act first.
Distributor risk flagged 6 days before target miss
Stock-out caught 7 days before it hits the shelf
Revenue leakage surfaced before month-end close
Promotion underperformance flagged mid-campaign, not after
Parle
Kraft Heinz
Beiersdorf
HCCB
Unilever
Coca‑Cola
Arla
L'Oréal
Parle
Kraft Heinz
Beiersdorf
HCCB
Unilever
Coca‑Cola
Arla
L'Oréal
You've already invested in SFA, DMS, dashboards, reports, and analytics. Here's exactly what changes when an AI-driven predictive analytics layer sits on top of all of it.
You find out about a problem after it shows up in your numbers.
You find out about a problem before it shows up in your numbers.
Your dashboards report what already happened.
Signals predicts what happens next.
Your teams react once the damage is done.
Your teams act while there's still time to prevent it.
Opportunities get noticed after competitors move first.
Opportunities get flagged before competitors move.
Our predictive analytics engine continuously analyzes sales, distribution, execution, inventory, promotion, and retailer data across your existing ecosystem, turning it into demand forecasts and real-time signals.
It identifies emerging opportunities, hidden risks, growth pockets, execution failures, and distributor vulnerabilities before they become obvious, then tells your teams exactly what to do next.
See How Signals Works →Signals connects directly to your existing SFA, DMS, ERP, retail execution, and inventory systems, and pulls sales, distribution, inventory, retail, and promotion data into a single AI-ready data layer, continuously.
Every data point is analyzed by machine learning models against trends, anomalies, seasonality, and historical patterns, continuously, not once a month. This is where raw numbers turn into something actually worth acting on.
Our machine learning models continuously analyze sales trends, outlet ordering patterns, inventory movements, distributor performance, and promotion execution to power demand forecasting across your network. They proactively flag stock-out risk, revenue leakage, promotion failure, territory decline, and distributor underperformance before they impact your results.
Every alert comes with a prescriptive recommendation already attached, from an AI agent trained specifically on your business: which outlets to visit, which reps need coaching, which distributors need a call, which promotions need correcting. It's not a dashboard to interpret. It's an instruction to follow.
Visit 125 priority outlets today
Schedule a distributor review this week
Adjust territory coverage plan next quarter
Teams take action immediately (at the warehouse, distributor, point of sale, or field), and an autonomous agent tracks the outcome straight back to the alert that started it, closing the loop. A head start is only valuable if you know how to use it.
Every action is measured against what actually happened, not just what was expected, and the difference is fed back into the machine learning model. A $150K recovery estimate that turns into $300K in the field isn't simply logged. It feeds back into Collect and Analyze, sharpening forecast accuracy with every cycle.
| Role | Pain | Signal | Action | Outcome |
|---|---|---|---|---|
| Sales Director | Strategy alignment | Growth opportunity identified | Prioritize macro actions | Drive top-line revenue |
| Regional Manager | Delayed coaching | Territory risk detected | Coach underperforming teams faster | Improve regional execution |
| Distributor Manager | Blind spots in partner health | Distributor vulnerability spotted | Early intervention protocol | Reduce revenue leakage |
| Sales Representative | Wasted field visits | Specific outlet alerts | Know which outlets need attention today | Sell smarter every day |
The market no longer rewards companies that just collect data. It rewards companies that know what to do before everyone else.
Unified market visibility across sales, distribution, inventory, and retail execution.
Detect opportunities and risks earlier, before they show up in a quarterly report.
Prescriptive recommendations that tell every team exactly what to do next.
Predictive analytics uses historical and real-time data, run through statistical models and machine learning, to forecast what's likely to happen next rather than just reporting what already happened. In FMCG, that means forecasting demand, stock-outs, and distributor risk before they show up in your numbers, not after.
Descriptive analytics tells you what happened. Most dashboards and reports fall into this category. Predictive analytics tells you what's likely to happen next. Prescriptive analytics goes one step further and tells you exactly what to do about it. Lighthouse Signals is built around all three: Collect and Analyze are descriptive, Predict is predictive, and Prescribe is prescriptive, so you're never left interpreting a forecast on your own.
AI, specifically machine learning models, is what makes predictive analytics continuous instead of a quarterly exercise. Rather than an analyst building a forecast by hand once a month, AI models continuously score fresh sales, distribution, inventory, and promotion data as it comes in, catching shifts early enough to actually act on them.
Dashboards are built to show you what already happened, clearly and well, but after the fact. Predictive analytics sits on top of that same data and forecasts what's coming next, so instead of finding out a distributor missed target at month-end, you find out with enough lead time to fix it.
Three things matter most: it should connect to your existing SFA, DMS, and ERP systems instead of requiring a rebuild, it should be tuned for FMCG-specific patterns like seasonality, promotions, and distributor tiers rather than generic retail analytics, and it should recommend an action, not just a forecast, since a prediction with no next step just becomes one more report to read.
Discover how Lighthouse Signals helps FMCG organizations transform data into earlier decisions, faster execution, and smarter growth.