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← Back to Decision TowerTHE PRODUCT WE’RE BUILDING

From market choice
to outlet action.

Opportunity concentration, investment allocation and dynamic beats belong in one decision ecosystem. This preview demonstrates the reasoning with synthetic data.

Interactive demo · Not a trained ML model
OPPORTUNITY CONCENTRATION

How much of the prize
is in your focus markets?

Rank the synthetic opportunity pool. Adjust the number of markets in focus to see concentration and the trade-off in coverage.

SYNTHETIC OPPORTUNITY POOL
of the illustrative opportunity pool
in the selected focus markets
THE INTERACTIVE PRODUCT PREVIEW

Find the market.
Choose the intervention.

Try a synthetic scenario. Follow the opportunity into an investment decision and an outlet visit plan.

Decision deskSynthetic data · interactive demo

Find the local opportunity

Illustrative Maharashtra district locations · schematic

6 DISTRICTS
Enter & build Scale Deprioritise Protect
Make the reasoning visible before acting.Inspect the model approach
DYNAMIC BEATS / THE INTENDED ARCHITECTURE

The visit decision
comes before the route.

Readiness changes the outlet list. Cadence turns the list into a calendar. Routing and capacity come after.

01

Predict readiness

Estimate productive-order probability from order rhythm, visit history and local context.

02

Plan the cadence

Convert readiness and order value into visits, subject to service and frequency rules.

03

Sequence the route

Build feasible daily plans with roads, service times, travel and territory constraints.

04

Test capacity

Compare workload, economics and service levels before changing deployment.

Planned architecture. The demo only illustrates synthetic visit ranking and a route sketch; it does not train a readiness model or optimise headcount.

DEMO METHODOLOGY

See the logic
behind the illustration.

All numerical values are synthetic. Map positions are schematic. No live data, customer systems or trained ML model are connected.

Opportunity concentration

Rank six districts by synthetic opportunity units. Add the units of the top N and divide by the total. This is an illustrative pool, not actual revenue or a market-size estimate.

Investment choices

Size of prize is the vertical axis; right to win is the horizontal axis. Both are synthetic 0–100 indices; high is ≥60. High/high → scale. High prize/low strength → enter & build. Low prize/high strength → protect. Low/low → deprioritise. A cell provides a hypothesis, not an automatic budget decision.

Entry-gap score = prize index × (100 − strength index) ÷ 100

It ranks exposure to an entry gap, not investment return. Scaling a strong market needs a different business case.

Visit ranking & routing

Filter outlets by readiness cutoff and, when enabled, whether due. Rank by synthetic readiness × synthetic order value; select up to visit capacity. Sequence with nearest-neighbour Euclidean distance and return to depot.

Readiness is invented, not a calibrated forecast. Value is in arbitrary units. The route is a heuristic, not an optimum, and excludes roads, time windows and service time. Empty eligible sets produce no route.

Read the design approach
PRIVACY & DEMO DATA

An illustrative preview.

The interactive preview runs in your browser using synthetic data. It does not upload your selections, accept customer files, store submissions or use third-party analytics in the page code.

The contact links open your email application. Any message you send is handled by your email provider and the recipient’s mailbox.

The hosting service may process technical access logs according to its own policies. A future product pilot would require a separate agreement on data access, retention and permitted use.