How Signals works

Three steps from raw data to field action.

1

Ingest

Everything that matters, in one model

Historical outlet performance, real-time POS data, promotion schedules, field context, and territory constraints are combined into a single predictive model that runs continuously.

2

Predict

Outlet-level risk, 48 to 72 hours out

Signals scores every outlet in your territory by execution risk — identifying what will fail, why it will fail, and when intervention is needed. Not market-level trends. Individual store predictions.

3

Prescribe

A prioritised action list before the visit

Field teams receive mobile-ready action lists for each outlet — specific, ranked, and actionable. No dashboards to analyse. No reports to pull. The right intervention at the right store, every day.

The execution gap

Your field team is reactive. Every problem they find in-store is revenue you've already lost.

01

50% of negotiated promotions fail due to execution gaps.

Your trade spend is committed. Your promotions are funded. But by the time a rep discovers that a store failed to execute, the promotional window is already closed. The spend is gone. The shelf opportunity is gone with it.

02

Field teams are discovering problems, not preventing them.

Out-of-stocks, planogram drift, and promotion fade are found during visits, not before them. Your reps arrive with no intelligence on which stores need attention most, so high-value outlets get the same visit cadence as low-risk ones.

03

10 to 15 hours per week lost to manual analysis.

Before a field team can act, someone has to pull the data, identify the problem, and decide what to do. That cycle takes days. Signals compresses it to minutes, automatically, before the first visit of the day.

04

Current tools report what happened. Not what will happen.

Dashboards, BI tools, and syndicated data are built for analysis after the fact. They tell you where revenue was lost. Signals tells you where it is about to be lost, and what to do before that happens.

What Signals delivers

From reactive field ops to proactive execution intelligence.

Three outcome areas that shift your field teams from problem-solvers to problem-preventers, protect your trade investment, and make every store visit count against your highest-priority opportunities.

Execution failures caught before they cost you revenue.

Outlet-level risk scores 48 to 72 hours ahead of the visit window. Field teams know which stores are at risk before they walk in, so intervention happens before the shelf gap, not after it.

Trade spend that actually executes against plan.

Signals predicts which stores will execute poorly against funded promotions, surfaces them before the promotional window closes, and prescribes the exact intervention needed to protect the investment.

Mobile intelligence that saves 20 to 30% of field admin time.

No reports to pull, no spreadsheets to read. Signals delivers a ranked action list to every rep's mobile device before the first visit. More time selling, less time analysing.

Territory coverage focused on outlets that move the needle.

AI-prioritised outlet lists ensure your team spends time at the stores that will make or break the quarter, not the ones that are already performing. Every visit is a strategic choice, not a routine call.

One system connecting forecasting, planning, and field execution.

Demand planners, trade marketing, and field sales aligned on the same outlet-level data. Siloed decisions replaced by a shared operating layer that connects promotional intent to field execution in real time.

Live in 60 to 90 days. Pilot-ready in 30.

Integrations with your existing DMS, SFA, and ERP systems handled end to end. First territory live within 30 days if prioritised. Reference customers go from kickoff to full deployment in 8 to 12 weeks.

Platform Capabilities

Three intelligence layers. One field execution advantage.

Every outlet scored, ranked, and explained — 48 hours before the visit.

Signals combines historical patterns, real-time POS, and field context to assign a risk score to every outlet in your territory. Not averages. Not regions. Individual stores.

Signals › Risk Feed › North Territory

48hr Window

Total Outlets

187

High Risk

14

Medium Risk

31

On Track

142

Outlet Root Cause Risk Score Signal Detail Priority

City Mart — Zone 4

Promo active · Amit V.

Out-of-stock risk

87/100

Stock velocity 3x normal. Reorder not triggered.

P1

Metro General — Zone 2

Last visit 9d ago · Priya S.

Planogram drift

79/100

3 SKUs below min facing. Competitor gained shelf.

P1

Sunrise Stores — Zone 1

Promo active · Rahul K.

Promo compliance

61/100

Display not set. End-cap occupied by competitor.

P2

Quick Stop — Zone 3

Low velocity · Sneha P.

No issues detected

18/100

Stock healthy. Promo executing on plan.

Low

Every outlet scored 0 to 100 on execution risk, updated daily, based on POS velocity, visit history, promotion schedules, and field context

Root cause identified alongside the score — out-of-stock risk, planogram drift, promotion fade — so the rep knows what to fix before arriving

48 to 72 hour prediction window gives field teams enough lead time to intervene before the execution failure impacts sales

Territory-level risk summary gives sales managers a daily read on where their teams need to focus without pulling any reports

A ranked action list for every rep, delivered before the first visit.

No analysis required. Signals converts outlet risk scores into specific, sequenced actions for each field rep — ranked by urgency and revenue impact — and delivers them to mobile before the day starts.

Signals › Action Lists › Amit Verma › Today

Mobile View

Good morning, Amit

Your actions for today

Tuesday 18 Mar • North Territory

PRIORITY 1 • Act before 11 AM

City Mart — Zone 4

OOS risk: Promo SKU running out. Stock velocity 3x normal.

Trigger replenishment order

PRIORITY 1 • Before visit

Metro General — Zone 2

Planogram drift detected. 3 SKUs below min facing.

Audit shelf & reset

PRIORITY 2 • If time permits

Sunrise Stores — Zone 1

Promo display not set. End-cap opportunity lost.

Day Summary • Amit Verma

Outlets Planned

12

Actions Required

5

Est. Time Saved

2.4h

Revenue at Risk

₹48k

Optimised Visit Sequence

1

City Mart

09:00 • Replenish

2

Metro General

10:30 • Shelf audit

3

Sunrise Stores

12:00 • Display setup

4

Quick Stop + 8 more

13:30 • Routine visits

Mobile-ready action lists delivered to each rep before the working day begins, ranked by urgency and revenue impact

Each action includes the specific intervention needed — replenish, audit, reset, escalate — so reps act without needing to analyse

Optimised visit sequence built around action priority, not just geography, so the most critical outlets are always first

Revenue at risk quantified per rep per day, making the business case for every prioritised visit visible and traceable

Predict which stores will miss your promotion before the window closes.

Signals maps every active promotion against outlet-level execution risk. Trade marketing and field sales see the same picture — which stores are on track, which are at risk, and which need immediate intervention.

Signals › Promotions › Summer Pack Launch

Active • 9 days remaining

Summer Pack Launch — Q1 2026

187 outlets • ₹4.2M trade spend • 14 Mar – 31 Mar

Predicted Compliance

67%

On track (126)

At risk (41)

Will fail (20)

20 outlets predicted to miss promotion • ₹840k spend at risk

Outlet Failure Reason Spend at Risk Days Left Action

City Mart

High velocity

Stock will deplete

₹148k

9

Replenish

Metro General

Key account

Display not placed

₹96k

9

Visit today

Sunrise Stores

Mid velocity

Competitor on end-cap

₹74k

9

Escalate

Every active promotion mapped to outlet-level execution probability so trade marketing and field sales work from the same risk picture

Outlets predicted to miss compliance identified before the promotional window closes, with spend at risk quantified per store

Failure reasons categorised by root cause — stock depletion, display not placed, competitor activity — so the right intervention is prescribed

Trade spend protection tracked in real terms across the promotion lifecycle, making ROI impact measurable rather than assumed

Built into the Lighthouse ecosystem

Predictive intelligence that connects to the data you already have

Signals does not require a new data infrastructure. It runs on the same POS, DMS, and SFA data your teams already generate, adding a predictive layer that turns that data into field action rather than retrospective reporting.

Connected to Lighthouse SFA and DMS

Outlet visit history, stock levels, order data, and field rep context flow directly from your existing Lighthouse modules into the Signals prediction model. No manual exports, no duplicate data entry.

Real-time POS data integration

Signals ingests point-of-sale data streams alongside historical performance patterns to identify velocity anomalies and stock risk before they trigger a gap. ERP and DMS connectors pre-built and tested across 33 countries.

SOC 2 compliant. Live in 60 to 90 days.

All integrations handled end to end by Vxceed. POS data stays in your environment. Signals processes aggregated, outlet-level signals only. First territory pilot deployable within 30 days from kickoff.

What our customers say

Trusted by the world's leading CPG organisations

“

Lighthouse 3.0 is technologically robust, enriched with feature enhancements to meet the evolving needs of our sales teams and distribution partners. Its future-ready architecture positions us to respond with agility to emerging market challenges.

Yoginder Grewal, CIO @ HCCB

Seamless rollout across 2,200 distributors · Nationwide · Zero disruption

See Signals in action

Stop reacting to execution failures. Start preventing them.

We will run a two-week pilot on one of your priority territories. Your team gets live alerts, validates the predictions, and sees execution impact in real time. No risk. Real data.

Request a Demo

The execution gap between your plan and your shelf costs you revenue every week. Signals closes it.

Three steps from raw data to field action.

Your field team is reactive. Every problem they find in-store is revenue you've already lost.

From reactive field ops to proactive execution intelligence.

Three intelligence layers. One field execution advantage.

Predictive intelligence that connects to the data you already have

Trusted by the world's leading CPG organisations

Stop reacting to execution failures. Start preventing them.

Solutions

Company

Ground Transport
Solutions

Offices

The execution gap between your plan and your shelf costs you revenue every week. Signals closes it.

Three steps from raw data to field action.

Your field team is reactive. Every problem they find in-store is revenue you've already lost.

From reactive field ops to proactive execution intelligence.

Three intelligence layers. One field execution advantage.

Predictive intelligence that connects to the data you already have

Trusted by the world's leading CPG organisations

Stop reacting to execution failures. Start preventing them.

Solutions

Company

Ground Transport Solutions

Offices

Ground Transport
Solutions