Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P44 · Implementation blueprint · Mappls Field Sales Intelligence
FMCG/CPG Distribution, Rural Expansion & Beat Excellence
Outlet universes, rural potential, distributor territories and beats are incomplete or stale, limiting numeric distribution and productive coverage.
01 · Target operating outcome
Define the change before choosing the technology
Where is demand potential growing faster than your current outlet coverage and distributor capacity?
Higher outlet coverage and sales; lower travel and overlap; faster distributor expansion and better service levels.
Target
Priority outlet list validated; calls/day and coverage improve; incremental distribution case accepted.
02 · Solution architecture
One connected flow from source data to operational action
Outlet census/enrichment, rural/urban potential scoring, distributor/territory design, beat routes, field execution, delivery/fleet and market dashboards. Mappls connects proprietary map and location intelligence with outlet census/enrichment, rural/urban potential scoring, distributor/territory design, beat routes, field execution, delivery/fleet and market dashboards. We start with one measurable workflow, prove the operating impact, and scale through reusable data, APIs and SaaS rather than a one-off implementation.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Market universe · Territories · Beats · Execution · Growth signals
Decision and outcome
Higher outlet coverage and sales; lower travel and overlap; faster distributor expansion and better service levels.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Route-to-Market
Sponsor / owner
Sales Excellence
Manager / analyst
Distribution
Manager / analyst
Chief Sales Officer
Manager / analyst
Business Unit Head
Operator / specialist
SFA/CRM
Operator / specialist
Supply Chain
Operator / specialist
Analytics
Operator / specialist
Sales head
Operator / specialist
Territory manager
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
Geo-demographics & Custom Data
Population, market, administrative and customer-enriched location layers
Product detailsGeocoding & Reverse Geocoding
Address-to-coordinate and coordinate-to-address
Product detailsRouting & Distance Matrix
Car, truck, two-wheeler, pedestrian and multimodal routes
Product detailsNavigation SDK
Turn-by-turn navigation, rerouting, voice and guidance
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
District/city diagnostic combining outlet census, demand scoring and redesigned beats for one sales team.
- Confirm data, geography, users and workflow: What outlet master, sales, distributor and call data exist? How are rural beats designed?
- Configure Mappls Field Sales Intelligence for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Priority outlet list validated; calls/day and coverage improve; incremental distribution case accepted.
- Package production scope and commercial model: Data/survey + analytics platform + per-user field SaaS.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement