Route-to-Market Optimization for FMCG: AI-driven decision layer for sales leaders. Outlet segmentation, coverage gap analysis, promo planning. +30% promo sales uplift, +20% sales lift per covered customer, +EUR 6.7M additional promo sales LTM. Built into Mobile Touch.

Route-to-Market Optimization

Set the strategy. Win the channel.

Route-to-Market Optimization helps FMCG sales leaders decide where to grow next — by combining AI-driven outlet segmentation, coverage gap analysis, and promo planning into one decision layer. Built into Mobile Touch.

+30% Promo Sales Uplift Dynamic Outlets Segmentation
+20% Sales Lift / Covered Customer New Coverage
+€6.7M Additional Promo Sales LTM, Foods customer

Trusted by the world’s leading FMCG brands

The Problem: Why You Need Route-to-Market Optimization

Where will sales grow next quarter — guess, or know?

Sales leaders manage thousands of accounts, dozens of territories, and ever-shifting promo budgets. Without AI-driven prioritization, decisions default to intuition — and growth becomes a coin flip.

Without Route-to-Market Optimization

  • Tens of thousands of POS, limited rep capacity — who makes the priority list?
  • Coverage gaps cost sales — you can’t fix what you can’t see
  • Promo budgets fund every channel — only some pay back
  • On-trade is a long tail — most reps visit it like it isn’t
  • Sell-out data flows in. Decisions still rely on intuition
  • FMCG markets shift quarter to quarter. Annual plans don’t

With Route-to-Market Optimization

  • Dynamic Outlets Segmentation ranks every POS by sales potential — AI-driven
  • New Coverage maps underserved territories with action priorities
  • Promo Planner scores channel ROI before launch
  • HoReCa Intelligence scores every on-trade outlet, so reps prioritize the ones that matter
  • Promo & Marketing Effectiveness surfaces decisions — humans validate
  • Real-time market signals drive real-time prioritization (RGM direction)
How Route-to-Market Optimization Works

Three steps, one closed-loop decision engine

Route-to-Market Optimization closes the loop from market signal to channel action. Every step is fed by Trade Data Hub data — and acts through Mobile Touch.

Step 1

See the market

Pull sell-out data, distributor performance, and market intelligence — every POS, every channel, every territory. Trade Data Hub feeds the picture; you see the whole route to market.

Sell-out data Distributor performance Market context POS-level granularity Real-time feeds

Step 2

Score the targets

AI scores every outlet by sales potential, ranks territories by coverage gap, and surfaces the on-trade outlets that justify rep visits. Explainable scoring, ready for sales-ops review.

Outlet scoring Coverage gap analysis HoReCa potential Promo ROI scoring Explainability

Step 3

Plan the action

Turn priorities into a visit plan, a promo plan, and a channel allocation — pushed to Mobile Touch so reps act on the same data sales leaders see. ROI forecast before launch, validation after.

Visit prioritization Promo planning Channel allocation Mobile Touch sync ROI forecast

Powered by Trade Data Hub data foundation, delivered through Mobile Touch — every decision based on verified sales data. ISO/IEC 27001:2022 certified.

Business Value of Route-to-Market Optimization

Why do Sales Directors choose Route-to-Market Optimization over gut-feel and Excel?

You could plan coverage, segmentation, and promotions in Excel + market intuition. Here’s why FMCG manufacturers — from spirits and confectionery to ambient foods — chose AI-driven decision support instead.

Coverage — every POS ranked, every gap visible

New Coverage surfaces white spots in your distribution network. Dynamic Outlets Segmentation ranks every store on potential, fit, and expected uplift. Reps stop guessing which doors to knock. Field time flows to the next sales gain, not the next random visit. HoReCa Intelligence brings the on-trade long tail into the same plan — visible, scored, prioritized.

Targeting — AI scoring instead of sales-rep intuition

Excel cannot score tens of thousands of outlets on dozens of variables every week. RMO does. Outlet potential, promo uplift, segment fit, churn risk — calculated, not estimated. Explainable AI shows why a POS scores high, so reps trust the list instead of overriding it. Sales Directors brief the field on data, not on instinct.

Promo ROI — +€6.7M added, not €6.7M wasted

Promo Planner simulates outcomes before budget is committed. Promo & Marketing Effectiveness measures ROI after launch, per channel and per SKU. One Foods customer added +€6.7M in Promo Sales over twelve months by sharing promotions with distributors through RMO. Quarter-end no longer asks “did this promo work?” — the dashboard answered last week.

Strategic clarity — every channel decision backed by market signal

Sales Directors walk into Board reviews with the numbers ready. CFO challenges trade-marketing spend? Show ROI per outlet, per channel, per quarter. Channel Manager pivots to HoReCa? Show the long-tail opportunity scored and sized. Real-time market signals flow into every plan — quarter-to-quarter shifts stop being surprises.

AI Scoring — Dynamic Outlets Segmentation

From a flat outlet list to a ranked, scored field plan — Bacardi’s AI scoring approach

Dynamic Outlets Segmentation ingests distributor sell-out, scores every outlet on potential and fit, and pushes a prioritized plan to Mobile Touch — a working pattern proven at Bacardi-Martini Polska across tens of thousands of POS, then refined for FMCG manufacturers across spirits, confectionery, and ambient foods.

1
Ingest

Sell-out signals from distributors, POS-level granularity, market context — pulled from Trade Data Hub continuously.

2
Score

Every outlet scored on sales potential, expected promo uplift, segment fit, and churn risk. Explainable AI — each score with rationale.

3
Cluster

Outlets grouped into actionable segments — high-potential, high-risk, coverage gap, on-trade long tail. Not lists; segments reps can act on.

4
Activate

Priorities pushed to Mobile Touch — reps see a ranked visit plan, with the ‘why’ attached. Sales-ops sees the same ranking in dashboards.

5
Refine

Closed loop: actual visits, orders, and uplift feed back into scoring. Models improve with every cycle — not annually, weekly.

+30%

Promo Sales Uplift

AI-targeted outlets vs. baseline

Tens of thousands

POS scored

at Bacardi-scale Polish FMCG

Weekly

Refresh cadence

every sell-out cycle re-ranks

Explainable

AI per outlet

rationale, not a black box

Two decision modules — pre-launch and post-execution

Beyond outlet scoring — Promo Planner and Promo & Marketing Effectiveness

Two production-grade modules that close the promotion loop: Promo Planner simulates outcomes before the budget is committed; Promo & Marketing Effectiveness measures what actually worked after the campaign runs — and feeds the answer into the next plan.

Promo Planner

Before any euro is committed, simulate outcomes. Lift forecast per outlet, per channel, per SKU. ROI threshold checked before the distributor signs the deal — the plan goes out only when the math holds up.

Delivers:

  • Lift forecasts from historical promo data and AI outlet scoring
  • ROI simulation per scenario — price drop, free goods, multi-buy
  • Channel mix optimization across modern trade, HoReCa, and e-commerce
  • Mobile Touch sync — distributors get the plan, reps get the talking points

In production: leading global F&B manufacturer — +€6.7M Promo Sales LTM from sharing the promotion plan with distributors through RMO.

Promo & Marketing Effectiveness

After the campaign runs — measure what actually worked. ROI per outlet, per SKU, per channel. Cannibalization tagged. Insights flow back into the next Promo Planner cycle, not into next year’s review deck.

Measures:

  • Promo ROI per outlet, per SKU, per channel — not aggregated averages
  • Cannibalization analysis — which adjacent products lost share to the promo
  • Lift attribution — true uplift separated from underlying trend
  • Closed-loop feedback into Promo Planner for the next cycle, not next year’s review

In production: spirits manufacturer in the Pernod Ricard family — channel ROI insights driving trade-marketing budget reallocation each quarter.

Customer Success Story

How Bacardi-Martini Polska built a Next Generation Route-to-Market with AI scoring

Industry: Spirits — premium FMCG Region: Poland — tens of thousands of POS Use case: AI Route-to-Market — Dynamic Outlets Segmentation + Mobile Touch + One View

In 2022, Bacardi-Martini Polska ran the first AI-driven route-to-market demotest in Polish FMCG. Traditional analytics had a name in the team: “analog analytics” — and it was failing. The demotest replaced a region’s outlet list using AI scoring instead of intuition, and validated a simple, brutal pattern: the high-potential outlets activated on the first visit were selling roughly 10 bottles per period, where the deprioritized ones had been moving 1. Same field force, dramatically more sales. The pilot was rolled out nationwide.

“We decided to use AI algorithms to support decision-making within route-to-market. Really important information slips by when we rely on ‘analog analytics’.”

— Romuald Spychalski, Bacardi-Martini Polska (Puls Biznesu, July 2022)

10×

More bottles per outlet

AI-scored outlets vs deprioritized ones

+26%

High-potential outlets activated

first-visit success at most stores

10,000s

POS in Polish FMCG

scale of AI scoring at Bacardi

2022

First AI R2M case

Polish FMCG market — origins

Next Generation
Route-to-Market

From spreadsheets to AI scoring.
Every outlet ranked, every visit earned.

RMO Modules

Every route-to-market decision — covered by one platform

RMO covers six modules — from outlet scoring to post-execution effectiveness — built on Trade Data Hub and activated through Mobile Touch. Pick the modules you need today; add the rest as your route-to-market maturity grows.

Discover & Score

Dynamic Outlets Segmentation AI scores every POS on potential, fit, and expected uplift — explainable, refreshed weekly
New Coverage Distribution gap analysis with prioritized expansion targets, channel-aware
HoReCa Intelligence On-trade long tail scoring — pubs, restaurants, hotels, cafes — visit-worthiness ranked

Plan & Measure

Promo Planner Pre-launch ROI simulation per outlet, channel, and SKU — before budget commits
Promo & Marketing Effectiveness Post-execution ROI per outlet, SKU, channel + cannibalization analysis & lift attribution
Real-time market signals Weekly refresh on every sell-out cycle — quarter shifts stop being surprises

6 modules

end-to-end RMO coverage

3 layers

Trade Intelligence umbrella (TDH + TTS + RMO)

20+ years

FMCG production heritage

Asseco Platform Recognition

Why trust Asseco Platform — the foundation behind Route-to-Market Optimization

Route-to-Market Optimization is built on Asseco Platform — a vendor recognized by leading analysts and trusted by 170+ FMCG manufacturers across enterprise planning, trade execution, and analytics.

POI Best-in-Class

9 POI Best-in-Class distinctions across Data Management, AI/Machine Learning, Coaching & Training, Guided Selling, and more — full Asseco Platform recognition.

POI 2025 Vendor Panorama

Gartner
Representative Vendor

Recognized for world-class solutions with capacity for multi-channel, multi-region deployment across FMCG — the platform foundation behind Route-to-Market Optimization.

Gartner Market Guide for Retail Execution Management in FMCG (2025, G00768127)

ISO/IEC
27001:2022

Information security management certified. Critical when your platform handles enterprise sales data, decision workflows, and partner-facing systems.

Certified by Alcumus ISOQAR, February 2026

Powered by 170+ implementations across FMCG · 20+ years of production-grade deployments · 14 years of distributor partnerships with leading FMCG brands

Competitive Landscape

How Route-to-Market Optimization compares

A side-by-side view against the closest alternatives in FMCG decision-support — Trade Promotion Management platforms, retail analytics suites, and field-execution systems — is in preparation. Below: how RMO is positioned in three dimensions.

Decision layer, not a dashboard

Pure analytics tools surface the data; RMO scores it, prioritizes it, and pushes the action into Mobile Touch — closing the loop from sell-out signal to field execution.

FMCG-native, not adapted

Built for distribution networks, sell-out signals, the on-trade long tail, and trade-promotion economics — not a generic CRM or SFA stack repurposed for FMCG.

Closed loop with execution

Most route-to-market tools stop at planning. RMO closes the loop through Mobile Touch field activation and post-execution effectiveness measurement — insights flow back into the next plan.

Detailed competitive comparison — in preparation.

Module Ecosystem

Route-to-Market Optimization is the decision engine of Asseco Platform

RMO sits inside Asseco Platform’s Trade Intelligence umbrella — a three-layer architecture for FMCG manufacturers: Trade Data Hub as the data foundation, Trade Terms & Settlement as the commercial settlement layer, and Route-to-Market Optimization as the decision layer that turns signal into action. Activated through Sales & Retail Execution in the field.

FAQ

Common questions about Route-to-Market Optimization

What is Route-to-Market Optimization?

Route-to-Market Optimization is the AI decision layer for FMCG manufacturers. It scores every outlet on sales potential, ranks coverage gaps, plans promotions, and pushes priorities into Mobile Touch — closing the loop from sell-out signal to field action. RMO covers six modules: Dynamic Outlets Segmentation, New Coverage, HoReCa Intelligence, Promo Planner, Promo & Marketing Effectiveness, and Real-time market signals.

How is RMO different from Trade Terms & Settlement?

Trade Terms & Settlement is the commercial settlement layer — it digitizes contracts, settles promotional rebates, tracks OTIF on distributors. RMO is the decision layer — it decides which outlets to prioritize, where coverage gaps are, which promotions to launch, and how channel mix should shift. TTS settles after the fact. RMO decides forward-looking. Both sit inside Asseco Platform’s Trade Intelligence umbrella alongside Trade Data Hub.

How is RMO different from Trade Data Hub?

Trade Data Hub is the data foundation — verified sell-out, distributor performance, POS-level granularity. RMO is the decision engine that runs on TDH data. TDH answers ‘what happened in the market?’. RMO answers ‘what should we do about it?’ — outlet scoring, coverage gap, promo ROI forecast, channel allocation. RMO without TDH would score on partial data; together, scoring reflects the real market.

Does RMO work standalone or only with Mobile Touch?

RMO produces decisions — a ranked outlet list, channel allocation, and a promotion plan. Those outputs land in Asseco’s Mobile Touch (Sales & Retail Execution) by default, where field reps act on them. Other field-execution tools can consume the same outputs through standard APIs, but Mobile Touch is the integrated path: decisions in RMO, execution in Mobile Touch, feedback into the next RMO cycle.

What input data does RMO need?

Distributor sell-out at POS-level granularity is the minimum — the more granular and the more frequent (weekly cycles work best), the better the AI scoring. RMO ingests through Trade Data Hub, which integrates with distributor systems, ERPs, and external market sources. Optional inputs that improve scoring: trade-spend history, planogram data, on-trade venue catalogs, and category benchmarks.

How long does RMO implementation take?

Modular rollout. Dynamic Outlets Segmentation — the AI scoring core — can deliver a regional demotest in weeks. That is exactly how Bacardi-Martini Polska validated the case in 2022 before nationwide rollout. New Coverage and HoReCa Intelligence add 2–4 weeks each. Full scope (six modules + multi-region distributor network + Mobile Touch integration) takes several months. Each implementation is managed by Asseco’s own team — not third-party SI partners.

Does RMO support the HoReCa channel?

Yes. HoReCa Intelligence is one of RMO’s six modules, designed specifically for the on-trade long tail — pubs, restaurants, hotels, cafes — where traditional sell-out reports underrepresent potential. RMO scores HoReCa venues on visit-worthiness and category fit; the module is used by spirits and beverages manufacturers to decide which on-trade outlets justify rep investment.

Which ERP and field-execution systems does RMO integrate with?

Through Trade Data Hub, RMO integrates with SAP, Microsoft Dynamics, Oracle, IFS, and major distributor systems. Mobile Touch (Asseco’s Sales & Retail Execution) is the native field-activation path, but RMO outputs can also push to third-party SFA tools through APIs. ERP integration is part of every RMO implementation — no separate project required.