The ledger, read aloud.

The problem

The company ran secondary sales on 312 distributor Tally instances reconciled by email. ASMs downloaded three separate Excel workbooks each morning — attendance from a biometric vendor, orders from distributors, and dispatch from the plant SAP — and stitched them by hand before 11 AM review calls. Stock-outs in high-velocity SKUs (Aloo Bhujia 22g, Moong Dal 40g) were only visible five days after the fact, by which point the trade had shifted to a competitor. Trade schemes announced from HO took nine to fourteen days to reach the last-mile invoice.

The approach

1. 01Rolled out the Field Blink SFA app to 1,204 PSRs and DSRs in a 6-week wave, starting with Punjab and Sindh, then Khyber Pakhtunkhwa, Balochistan, Gilgit-Baltistan, Islamabad and Azad Kashmir.
2. 02Migrated 312 distributors onto the Field Blink DMS with a two-way Tally connector — primary invoicing stayed in Tally, secondary sales, claims and stock norms moved to Field Blink.
3. 03Wired the plant SAP ECC dispatch feed into the Field Blink event ledger through the SAP IDoc connector, giving HO a single view from plant gate to retailer bill.
4. 04Turned on predictive routing after eight weeks of clean beat data — PJPs were rebuilt weekly against drop-size and productivity targets rather than legacy geography.
5. 05Moved trade scheme publishing to Field Blink's scheme engine so a HO-approved scheme reached every distributor invoice line within one business day.

The problem

The dairy's curd and buttermilk SKUs have a 6-day shelf life and a 2–8°C hold window. Wastage — expiry returns plus temperature-excursion write-offs — ran at 6.8% of chilled dispatch, worth roughly Rs 34 crore a year. Route salesmen carried paper load-out sheets and reconciled unsold stock at the depot each evening; excursion incidents were only known when a retailer complained.

The approach

1. 01Deployed Field Blink SFA on rugged handhelds paired with Bluetooth temperature loggers in each vehicle — a reading every 90 seconds, stamped to GPS and route.
2. 02Enabled Field Blink's date-code and batch tracking so every crate loaded, sold, returned or written-off carried its manufacturing date through to the depot ledger.
3. 03Built a dynamic replenishment model that recalculates the next-day load per outlet from the trailing 21-day sell-through, weather, and local event calendar.
4. 04Introduced an in-app excursion protocol: if the logger crosses 8°C for more than 12 minutes, the route auto-flags the affected crates for depot inspection rather than retail sale.
5. 05Wired depot write-offs into the DMS claims engine so distributor and depot reconciliations closed same-day.

The problem

Each country ran a different SFA — a homegrown Android app in Vietnam, one incumbent SFA vendor in Thailand and Indonesia, and Excel elsewhere. Group HQ received consolidated secondary numbers on the 12th of the following month, with no shared SKU or outlet definition. Cross-border promotion planning was impossible; a regional CMO could not see, in one screen, how a Sprite-style clear-lime brief performed against a Fanta-style orange brief across the region.

The approach

1. 01Stood up a single Field Blink tenant with country partitions, running on the Singapore region for data-residency compliance where required and Jakarta for Indonesian PDP-Law-adjacent workloads.
2. 02Mapped a shared master SKU dictionary against each country's local pack, tax code (VAT-VN, VAT-TH, PPN-ID, VAT-PH, SST-MY, VAT-KH) and language.
3. 03Ran a 14-week rollout in three waves: VN + TH → ID + PH → MY + KH, each wave getting a two-week pilot in one province before national go-live.
4. 04Deployed Field Blink's outlet universe reconciliation to dedupe 41% overlapping distributor territories in Indonesia's Java corridor.
5. 05Turned on the retail-intelligence layer so the regional CMO's Monday review used the same numbers already in each country ASM's Sunday-night dashboard.

The problem

Doctor-call reporting was self-declared in a legacy MR app; chemist secondary sales came monthly from stockists in an unstructured Excel; CFA dispatch reconciled quarterly. Marketing spent brand-building rupees without knowing whether a rep had actually detailed the intended molecule in the intended clinic. Rx-audit vendors reported prescription share on a 45-day lag.

The approach

1. 01Rolled out Field Blink SFA (pharma edition) with in-visit doctor-detailing capture, sample tracking, and DCR auto-generation.
2. 02Onboarded 2,180 stockists onto Field Blink DMS with a 2X-daily secondary sales upload — chemist-level, batch-level, molecule-mapped.
3. 03Built a molecule-level closed-loop: MR detailing to a doctor on Monday, chemist secondary of that molecule in the doctor's catchment on Tuesday-Wednesday, reconciled in the Friday brick-view.
4. 04Integrated the CFA WMS so batch dispatch to stockist to chemist secondary flowed through a single event ledger — halving the 34-CFA month-end reconciliation.
5. 05Deployed the AI coaching layer to flag under-performing MR-doctor pairs weekly, feeding the ABM's Monday one-on-one.

The problem

Project sales — architects specifying a tile SKU into a residential tower — sat in a CRM that had no line-of-sight to whether the dealer serving that site actually stocked or invoiced the specified SKU. Dealers frequently substituted a similar-margin lookalike, eroding brand pull and losing the architect's next specification. Time from spec-in to first dealer invoice averaged 42 days.

The approach

1. 01Deployed Field Blink SFA with a dual-mode workflow — project executives on the specification pipeline, trade executives on dealer coverage — sharing one outlet & site graph.
2. 02Turned on site-to-dealer allocation: when a project executive locks a specification, the platform proposes the nearest capable dealer, reserves stock, and tracks delivery back to that project ID.
3. 03Rolled out Field Blink DMS to 740 dealers in Arabic + English with VAT-GCC compliant invoicing.
4. 04Integrated the group's Infor LN ERP for stock and pricing, keeping quotes and dealer invoices on a single price master.
5. 05Introduced spec-conversion analytics: for each architect, what % of specifications converted to a genuine on-site delivery of the specified SKU (not a substitute).