Who we build reporting for.

Brands supplying the large retail chains, where each account raises its own purchase orders on its own cycle, fills them partially, and reports sell-out in its own format — and the national picture only exists once somebody builds it.

• Purchase order report, account by account
• PO fill rate, tracked by account, SKU and week
• Sell-out (offtake) report per account
• SKU-level sales read against PO fill rate
• Brand-wise sales, every account combined
• Store and region-wise offtake within an account
• National, cash & carry and regional accounts read side by side
• Stock cover and days of inventory at DC and store level
• Claims, deductions and settlement reconciliation
• Listing and planogram compliance against what was ordered

• DMart
• More Retail
• Reliance Retail
• Spencer’s
• Tesco
• CPWI
• Metro C&C
• Grace
• Kalyan
• KPN
• Lulu
• Max
• National Mart
• Nesto
• Patel Retail
• Pothys
• Ratnadeep
• Saravana

Purchases, sales, routes, customers and receivables across territories — where outstanding payments and salesperson performance are the two things always asked for and rarely on one page.

• Sales by territory and beat
• Outstanding receivables and ageing
• Salesperson performance against target
• Stock cover and expiry-sensitive lines

• FMCG Distribution
• Wholesale Trade
• Depots

Daily SKU sales, purchases, suppliers, stock and expenses — generated every day, recorded in registers and bills, with no structured way to read any of it.

• Daily sales and margin
• Reorder list
• Slow-moving lines
• Supplier-wise purchase

• Kirana Shops
• Grocery
• Vegetable Mart

Sales, purchases, batches, expiry and stock, where the cost of a missed expiry date is immediate and the tracking is usually manual.

• Expiry monitoring
• Stock value
• Fast-moving medicines
• Margin by category

• Retail Chemists
• Chains

Appointments, collections, doctors, tests and operational records — where daily collection and utilisation matter and the data sits inside a practice-management system nobody reports from.

• Daily collections
• Appointment utilisation
• Service mix
• Doctor-wise revenue

• Clinics
• Labs
• Polyclinics

Orders, sizes, colours, stock, production and dispatch — where the size and colour dimension multiplies every report and breaks most spreadsheets.

• Sales by product and size
• Stock ageing
• Fast-moving lines
• Order status

• Retail
• Production
• Dispatch

Orders, menu items, purchasing, wastage and staff shifts — where food cost moves weekly and the POS report was never built to show it.

• Daily sales
• Food-cost indicators
• Item performance
• Wastage

• Dine-in
• Cloud Kitchens
• Cafés

Fees, attendance, batches and student records — where collection and attendance drive everything and both are tracked in separate registers.

• Fee collection and pending
• Attendance
• Batch performance
• Enrolment trend

• Schools
• Coaching
• Training Institutes

Appointments, memberships, packages and staff — where renewal rate decides the business and is usually only noticed after it has fallen.

• Revenue by service
• Membership renewal
• Staff utilisation
• Package consumption

• Salons
• Spas
• Fitness Studios

Production, raw materials, quality and dispatch reconciled across plants and systems that were never designed to talk to each other.

• Production plan versus actual
• Rejection rate
• Material usage
• Order fulfilment

• Production
• Inventory
• Dispatch

SKU counts, multiple categories and store-level performance, where manual reporting is slow to produce and easy to get wrong.

• Store-wise performance
• Category contribution
• Stock cover
• Shrinkage

• Supermarkets
• Chains
• Multi-store

Leads, properties, site visits and follow-ups, where conversion is decided by which source was worth the spend and nobody is measuring it.

• Lead pipeline
• Conversion by stage
• Source performance
• Property status

• Brokerage
• Channel Partners

Programmes, donors, budgets and beneficiaries — where the reporting obligation is external and the format is set by somebody else.

• Programme expenditure
• Donor reporting packs
• Beneficiary summaries
• Budget versus actual

• Programmes
• Donor Reporting

Client books, reconciliations, reports and data cleanup — the same monthly pack, multiplied by every client on the roster.

• Monthly client MIS
• Reconciliation trackers
• Exception reports
• Turnaround tracking

• CA Firms
• Bookkeeping Practices

Candidates, clients, interviews and placements, where funnel ageing is the leading indicator and the ATS export is the only place it lives.

• Recruitment funnel
• Pipeline ageing
• Source performance
• Placement status

• Staffing
• HR Consulting

Product sales alongside grooming, boarding and repeat visits — a mix of retail and service data that no single report usually covers.

• Customer visits
• Service revenue
• Inventory
• Repeat-customer trend

• Retail
• Grooming
• Boarding