LARGE-SCALE DATA ACQUISITION
Ability to scrape, sort, and verify structured business data at city level — across multiple categories simultaneously.
HYPERLOCAL COMMERCE & MERCHANT DISCOVERY
Enabling Scalable Hyperlocal Merchant Discovery Across a Pan-India Ecosystem
Client details withheld per NDA , Full case available upon request.
Leading Hyperlocal Commerce Platform India
On-Demand Delivery & Merchant Ecosystem
Multi-phase engagement, Pan-India rollout
70+ cities across India
THE SITUATION
A leading Indian on-demand convenience platform was expanding its hyperlocal delivery ecosystem by onboarding thousands of local merchants — grocery stores, meat shops, pharmacies, apparel, retailers, and pet stores — across India.
The manual onboarding process was slow, inaccurate, and impossible to scale. The client needed a data-first partner to build a verified, city-level merchant intelligence engine that their sales teams could act on immediately.
WHAT INTIN DID
1
Strategic Problem
Segmentation & Approach Design
- Analysed the operational burden of manual merchant onboarding and redesigned the approach — breaking the challenge into automated, category-level data acquisition workstreams that could run in parallel across geographies
2
Precision
Data Scraping at Scale
- Deployed specialised data scraping capabilities across multiple merchant categories — covering food, personal care, household services, and retail segments — at street and locality level across a defined radius per city.
3
Data Verification
& Intelligent Sorting
- Delivered verified merchant listings with contact details, Whatsapp details, location data, and business identifiers — sorted by business size and potential so the client's teams could prioritise high-value merchant outreach from day one.
4
Pilot
to Pan-India Rollout
- Began with a controlled pilot across select cities to validate data quality and accuracy before scaling the full methodology to a Pan-India rollout — delivering large, verified datasets per city within rapid turnaround windows.
CAPABILITIES THIS ENGAGEMENT DEMONSTRATES
CATEGORY INTELLIGENCE
Deep mapping of local merchant ecosystems across diverse business segments to support hyperlocal expansion strategies.
VERIFIED DATA DELIVERY
Structured datasets with contact verification and business profiling - ready for immediate CRM and outreach use.
PHASED, SCALABLE EXECUTION
Pilot-to-rollout delivery model that validates quality before scaling, reducing risk across large geographic programs.
MERCHANT NETWORK ENABLEMENT
Converting fragmented public data into a structured merchant intelligence asset — a permanent foundation for ecosystem expansion
SPEED & TURNAROUND
Fast, multi-stream data processing that replaces slow manual audits with a scalable, repeatable acquisition engine.
INTIN SOLUTIONS APPLIED
Marketing Process Outsourcing
Marketmapping— structuredidentification and categorisation of local merchants at scale
Business discovery — automated acquisition of category-level business intelligence across geographies
Category landscaping — mapping multiple merchant segments to support hyperlocal expansion
Merchant identification — delivering verified contact and location data for targeted outreach
Business intelligence generation — revenue-sorted datasets enabling prioritised merchant acquisition
I-Connect
Ecosystem building — creating the verified merchant network foundation for a hyperlocal platform
Merchant network enablement — connecting expansion teams with street-level, actionable business data
Business connectivity frameworks — structuring data by category, geography, and business size for outreach
Hyperlocal business ecosystem support — enabling city-by-city merchant discovery at platform scale
Want the full case details?
The complete case — including client identity, data volumes, city-level breakdown, and technical methodology — is available to qualified prospects under NDA. Reach out and we will walk you through it.
"INTIN converted fragmented, unstructured public data into a verified, revenue-sorted merchant intelligence asset — giving the client a scalable foundation for hyperlocal expansion that no manual process could replicate."
CHALLENGES IDENTIFIED
70+
Cities covered in the Pan-India rollout
15,000+
Verified merchants identified per city
10+
Business categories mapped & structured
4–6 days
Average dataset turnaround per city