Real deployments. Measured outcomes.
These aren't aspirations — they're production systems used by thousands of people every day, across India's leading enterprises. Out of respect for our clients, we present these anonymized; named references are available under NDA.
What scale looks like in production.
Filter by industry — more case studies are added as clients approve them.
A leading Indian pharmaceutical company
Enterprise BI for 15,000+ users, built on 12 source-system integrations. Dashboards and reports for leadership, mid-management, and field reps — everyone on the same unified data, one version of truth.
Read the full story ↓India's largest pharmaceutical distribution network
40 partner groups · 148 partner branches spanning India — every branch's data integrated and unified onto one platform. Centralized leadership sees the whole network, down to individual branch operations.
Read the full story ↓A leading Indian consumer goods company
From the production line to the last sale — manufacturing, procurement, sales, finance and people unified across every route to market: general trade, modern trade, e-commerce, quick commerce and exports.
Read the full story ↓Scaling enterprise analytics & execution intelligence at a leading Indian pharma company
How one of India's leading pharmaceutical companies moved from fragmented reporting to a governed analytics platform serving 15,000+ users — where the insight finds the person, not the other way around. (Client named under NDA.)
The client
A leading Indian pharmaceutical company — decades in operation, hundreds of brands across therapy areas, multiple manufacturing facilities, and an international footprint. Behind that scale sits one of the industry's largest field forces and a commercial operation that runs on daily execution — making it one of the most demanding analytics environments in Indian pharma.
The challenge: analytics existed — but it wasn't driving execution
The company's 20+ business divisions had each built reporting that served their own needs well, supported by dedicated MIS teams and Excel workflows. At enterprise level it carried a hidden cost: the same KPI could read differently from one report to the next, and cross-functional reviews spent their most valuable minutes aligning numbers rather than acting on them. Skilled people spent their time preparing and validating data rather than analyzing it. The insight existed; it simply arrived after the moment to act.
Leadership recognized this for what it was: not a dashboarding gap, but an execution intelligence opportunity — from reporting to a connected platform, from insights to operationalized actions, from siloed views to enterprise-wide decision alignment.
The engagement
Eight families of enterprise data — primary sales (SAP), field effort (SFA), secondary sales, HRMS, market research (IQVIA), HCP engagement & e-detailing, strategic planning, and geographic & field hierarchy — unified into one governed platform, one version of the truth.
- Products deployed: Analytical Engine · CORE BI · Automated Review Packs (SCOPE)
- Use cases live: Sales · Field Force Effectiveness · Doctor & Market Research Intelligence · Digital Engagement · HR, Manning & Incentives · Executive Intelligence
- Architecture: ~12 enterprise integrations on a Databricks lakehouse; row-level security and enterprise SSO; native Android/iOS, tablet and web; elastic cloud that scales down off-peak
The journey: start small, scale right
The program started with platform thinking and a single high-value use case — doctor-level intelligence — and earned the right to expand. It began with 300 power users; within nine months, sales & effort analytics had rolled out to the entire field force. Expansion has continued milestone by milestone — new integrations, new dashboards, new functions — run as a partnership with continuous delivery and 90%+ on-time delivery.
Outcomes on the ground
Every rep knows where they stand
A live view of target attainment — confirmed sales plus pending orders, incentive compliance, balance-to-do — on any device. Performance tracking became a daily motivator, not a quarter-end surprise.
Chronic missed doctors, caught in time
Chronically missed doctors — including KOLs — surface automatically, so managers act before a coverage gap hardens into lost prescriptions.
Reviews that start at the decision
Monthly review decks arrive by the 2nd — already standardized, already correct. Meetings begin from one version of the truth, with the reconciliation debate gone from the agenda.
Hidden opportunities, unearthed
Unified market intelligence reveals therapy and territory opportunities siloed views could not show — sharpening marketing strategy and brand planning.
Sharper demand forecasting
Connected sales and market data feeds better production planning and demand forecasting.
Industry recognition
A little over a year after the program began, the client was honored with a national pharma-industry award for business growth — recognition for the AI-powered analytics platform at the heart of the engagement.
Quantified before/after figures and attributed quotes are being confirmed with the client for publication and will appear here on sign-off.
What's next: from intelligence to AI
With a governed, AI-ready data foundation in place, the partnership is moving into its next phase: natural-language access through LIA, AI-powered field coaching through MVibes, and autonomous agents that monitor, predict, and recommend — built on the same unified platform.
This was never a dashboard rollout. It was the deliberate design of an enterprise analytics platform — starting small, scaling right, and operationalizing insight into a data → insight → action → feedback loop at scale.
Partners, not vendors.
Our engagements don't end at go-live. We operate, expand, and improve the platform as the business grows — which is why deployments that started with one dashboard now run entire intelligence ecosystems.
- Start small, scale wide — every deployment above started with one module
- Adoption that sticks — training, role-based views and mobile delivery drive daily usage
- One accountable partner — consulting, engineering, deployment and managed operations
One network. 40 partner groups, 148 branches. A single version of truth.
How India's largest pharmaceutical distribution network brought every partner branch in the country onto one governed platform — heterogeneous systems with no universal unified code, consolidated into a single global view — so central leadership sees the entire network, down to individual branch operations. (Client named under NDA.)
The challenge: a network's worth of truths — and no common code
Pharmaceutical distribution runs on thin margins, heavy working capital, and relentless daily throughput. Spread that across 40 partner groups and 148 partner branches — heterogeneous systems, different data shapes, and no universal unified code for customers or items — and central leadership faces a structural problem: the network's performance existed only as fragments. The same customer or SKU could be coded differently in every branch; consolidation was slow and manual, comparisons unreliable, and a branch-level question from leadership could take days to answer.
What LeapSurge built
Every branch's data — whatever the system, whatever the format — integrated and unified onto one governed platform through the custom-built integration engine. The heart of the consolidation: customers and 1.05 lakh+ items mapped centrally to create the global view, while each branch retains its own individual data identity locally — a major harmonization across heterogeneous partner branches that had never shared a universal code. One data model and one KPI dictionary across the network, so a number means the same thing in every review.
The result is a single operating picture: central leadership sees the whole network on one screen and drills from network to partner group to individual branch — the same governed truth at every altitude.
The most distinctive layer is customer intelligence at street level: more than 1.2 lakh customers — retailers, chain pharmacies, institutions and hospitals — each analyzed for profitability, margin, scheme performance and territory, on a geographic view that zooms from the all-India map to pincode and street, showing customer density and the network's market share in that exact geography.
And the intelligence travels: review decks are mailed automatically to every partner and the leadership team — the all-India story as ready-made presentations, each recipient's view honoring row-level security.
Outcomes on the ground
- Every branch on one platform — 40 partner groups, 148 partner branches, integrated as the network grows
- A global view without erasing local identity — customers and items mapped centrally while each branch keeps its own data identity
- Branch-level visibility from the center — leadership drills from the national view to a single branch's operations
- Like-for-like comparisons — one KPI dictionary ends the every-branch-reports-differently problem
- The day starts with Sales Effectiveness & Day Summary — the flagship view: all-India and partner-level sales and growth against target, daily
- Order-to-dispatch, tracked end to end — every document followed through the chain to shrink overall turnaround time
The dashboard suite the network runs on
Sales Effectiveness & Day Summary
The network's flagship dashboard, and its shared morning rhythm. All-India, partner-group and branch-level sales with growth against target, every single day — combined with effectiveness views that show which products, customers and territories are driving performance and which are dragging it. Course-correction happens in-month, not at review time.
Purchase Analysis
Complete procurement analysis — what is being bought, at what margin, and under which schemes. In distribution, profit is largely made at the point of purchase, so buying decisions are steered by what the network actually earns rather than by list prices. Scheme benefits get captured instead of quietly leaking.
Inventory Analysis
Stock health across all 148 branches in one view — excess and short positions, inventory turnaround, and expiry management. In a business where expiry is money, at-risk stock surfaces while there is still time to redistribute or act, and short stock is flagged before it becomes a lost sale.
Customer Analysis
More than 1.2 lakh customers analyzed for profitability, margin, scheme performance and territory. The geographic view zooms from the all-India map down to pincode and street — customer density and market share in that exact geography — so expansion, coverage and scheme decisions are made street by street, on evidence.
Revenue Growth Analysis
Where growth actually comes from — decomposed into new products, new customers, and value versus volume. It includes the early warning most distribution businesses never see: which products an existing customer has newly added, and which they have quietly dropped — visible here weeks before it shows up in revenue.
Indent Summary
Pending orders and procurement planning in one live view, so supply decisions run ahead of demand instead of behind it. Nothing waits unnoticed in the pipeline — and service levels hold without over-ordering.
Bill Track Summary
Every document tracked from order to dispatch — end-to-end visibility of the operational chain. In distribution, turnaround time is the service promise, and this dashboard answers one question continuously: where is the time going, and how do we shrink it?
Price List Analysis
Complete price-list comparison across the network, with price movement tracked over time. With 1.05 lakh+ SKUs, pricing consistency is impossible to police manually — this makes pricing decisions and their effects visible instead of anecdotal, protecting margin at every counter.
DSR Mailing — Review Packs
The intelligence travels to the people who need it: review decks mailed automatically to every partner and to the leadership team, as ready-made presentations honoring row-level security at every level. Every review across 40 partner groups starts from the same governed truth.
From the production line to the last sale — every channel, on every screen.
How a leading Indian consumer goods company — a full make-and-sell business with multiple manufacturing plants and every route to market — unified manufacturing, procurement, sales, finance and people onto one governed platform. (Client named under NDA.)
The challenge: many routes to market, multiple plants, one question
What's really happening right now? Selling across general trade, modern trade, e-commerce, quick commerce and exports means data arrives in many shapes, on many clocks, under many schemes — and manufacturing adds its own stream from the production lines. Because the company both manufactures locally and imports semi-finished goods for assembly, procurement and supply planning sit on the critical path. Each function had built its own reporting, much of it in Excel, maintained by hand.
Two realities made fragmentation costly. Demand swings hard around festivals and the big e-commerce events — production must be planned to what's coming, not what already happened. And with complex costing and channel- and scheme-level economics, a single blended number hides where money is actually made or lost.
What LeapSurge built
SAP, field-force automation, HRMS, finance and the production lines unified into one governed source of truth with stable master data — so every metric means the same thing in every view. Channel-level sales performance, scheme-wise profitability, and a finished-goods costing model that rolls up the real drivers — raw material, power, labor — so pricing and scheme decisions run on what each product genuinely earns.
Outcomes on the ground
- One view across every route to market — target-vs-achievement, growth and channel economics side by side, by brand, region, team and scheme
- Profit leakage surfaces before it compounds — scheme-wise profitability and margin realization by product, category and customer
- Inventory turns lifted, working capital freed — live stock availability, aging and fast/slow-moving analysis on the imported-inputs critical path
- Production planned to demand — festival and event swings visible in advance; pending orders tracked end to end across channels
- Far less manual Excel — a single version of the truth across departments, on any device, secured by row-level access
Start with sales. Scale across the business. The program began with the highest-value view, proved the single version of truth, and expanded function by function — finance, procurement, inventory, production, customer, workforce — until the whole business was deciding from one platform.
The dashboard suite the business runs on
Sales Analytics & Performance Management
GT sales summary, sales effectiveness, sales executive & team performance, sales force effectiveness and retail store overview — state-head-wise tracking, target vs achievement in a single view, region/team/executive monitoring, trends and growth, scheme-wise performance, and customer & channel insights. Sharper accountability, faster reviews with live insights, one view for leadership and sales.
Finance & Profitability Analytics
Finance analysis, cash flow, margin analysis, and customer & supplier outstanding — scheme-wise margins, product/category/customer profitability, revenue and cost monitoring, receivables and payables. Better pricing decisions, profit leakage identified, improved financial control.
Inventory & Supply Chain Analytics
Inventory analysis and inventory optimization — stock availability, fast- and slow-moving analysis, aging, and demand & supply visibility for data-driven stock planning. Improved inventory utilization, better working capital, far less manual analysis.
Manufacturing & Operations Analytics
Production analysis — output monitoring, manufacturing performance tracking and operational efficiency, connected to the same governed truth as sales and demand.
Customer & Workforce Analytics
Customer analysis and manpower overview — customer buying behavior and contribution tracking, alongside workforce deployment visibility across the business.
Your story could be next.
Start with one module. Expand to all. First results in 4–6 weeks.
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