Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P38 · Implementation blueprint · Mappls Field Sales Intelligence
Sales Territory, Beat & Market Expansion Analytics
Territories, beats and outlet coverage are often inherited rather than built from current demand, travel and market potential.
01 · Target operating outcome
Define the change before choosing the technology
Which territories have the highest untapped revenue after adjusting for outlet potential and travel capacity?
More productive calls, outlet coverage and revenue; lower travel; fairer territories and faster expansion decisions.
Target
Potential model accepted; travel/call capacity improves; priority outlet list validated; execution owner assigned.
02 · Solution architecture
One connected flow from source data to operational action
ClarityX/mGIS, outlet/market data, whitespace scoring, territory design, beat planning, route optimisation, field execution and performance dashboards. Mappls connects proprietary map and location intelligence with clarityx/mgis, outlet/market data, whitespace scoring, territory design, beat planning, route optimisation, field execution and performance 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
More productive calls, outlet coverage and revenue; lower travel; fairer territories and faster expansion decisions.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Sales Excellence
Sponsor / owner
Route-to-Market
Manager / analyst
Commercial Analytics
Manager / analyst
Chief Sales Officer
Manager / analyst
Business Unit Head
Operator / specialist
CRM
Operator / specialist
Data Science
Operator / specialist
Sales Operations
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
ClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsGeo-demographics & Custom Data
Population, market, administrative and customer-enriched location layers
Product detailsWorkMate
Field task, attendance, routing, forms, proof and supervision
Product detailsFASTag Management
Tag, toll transaction, reconciliation and route cost workflows
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
Four-city/district diagnostic scoring whitespace and redesigning territories/beats for one team.
- Confirm data, geography, users and workflow: What outlet/customer universe and sales history exist? How are territories and beats set? Which growth KPI matters?
- Configure Mappls Field Sales Intelligence for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Potential model accepted; travel/call capacity improves; priority outlet list validated; execution owner assigned.
- Package production scope and commercial model: Analytics project + platform/user subscription + data/update services.
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