Smart Map-Based Outlet
Discovery & Expansion
Expand market coverage faster with a streamlined outlet discovery workflow. Sales reps can discover new outlets on the map, view pre-filled details, add stores to their PJP, and submit them for approval, accelerating retail expansion.
An outlet master nobody trusts
Every decision downstream depends on one question answered correctly upstream: is this outlet real, is it unique, and is it where it says it is. Most outlet masters cannot answer any of the three. Duplicates inflate coverage. Ghost outlets absorb schemes.
How Outlet Discovery Works
Map Opportunity Data
New outlet data from Stackbox or another connected source is mapped onto a live market view.
Outlet Discovery
Sales reps see high-potential new outlets relevant to the route they are covering, along with pre-filled outlet details.
Addition to PJP
Reps select suitable opportunities and add them directly to their PJP for planned market execution.
Checks and Approvals
New outlets undergo a duplicate check and, where required, are submitted to the supervisor for approval before execution.
Bringing The Best Of RTM Tech
By partnering with Stackbox, we combine our sales tech expertise with proprietary RTM imapping ntelligence and real-time visibility across 60+ sales metrics.
One outlet record, created once, read by everything downstream
Onboarding is not a form. It is the point at which every coverage number, scheme spend and target that follows either becomes trustworthy or does not.
Sales reps and self-registering retailers
Reps register new outlets from the field with a geo-tagged photo and structured details. Retailers onboard themselves through eB2B using the same KYC chain, with no rep visit required to open the account.
Supervisors
Approve retailers from a pending queue organised by PSR and beat, with duplicate and geo checks already applied before they look, and beat-level detail one click away.
Distributor and back-office teams
Receive outlets mapped to them with route-to-market information already assigned, and handle the exceptions the automated checks route out for human review.
An outlet master that's built for the rep
Sales reps can discover high-potential new outlets directly on a live map while covering their daily route. Each opportunity comes with pre-filled store details, can be added to the rep’s PJP and routed for supervisor approval after duplicate verification.
Outlet onboarding questions, answered
Three things, in order. That the person registering controls the phone number, through an OTP. That the person is who the government ID says they are, through a face match between a live selfie and the ID photograph. That the business exists and is registered under that name, by checking GSTIN and PAN existence against the government portal and matching the entity name against registered records.
Duplicate and geo checks run automatically before a supervisor sees the record. An outlet that matches an existing entry, or whose captured geo-location contradicts its stated address, is routed to back-office review rather than approved.
The supervisor, from a pending queue organised by PSR and drillable to beat level. Exceptions that the automated checks flag go to the back office instead.
The beat is assigned, the distributor and route-to-market information are mapped, and a unique outlet code is generated. That code is synced to SFA and DMS, at which point the outlet can receive an order.
Yes. eB2B self-registration runs the same KYC chain, so a retailer who registers themselves is verified to the same standard as one a rep walks in and adds.
Existing, new, reversed and pending. Each carries a last-updated timestamp and a count of outlets modified, and the full master is searchable by outlet name, code and distance.
Al-Native Sales Execution, With A Guaranteed Uplift.
3% minimum uplift, contractually guaranteed. Includes a 110% refund if the technical success criteria are not met.
AI Native Products
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The AI-native route-to-market platform for CPG & FMCG enterprises — delivering a contractually guaranteed sales uplift, backed by IEEE peer-reviewed ML.
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