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nimbryx

Industry · Logistics & Supply Chain

Your dispatch desk shouldn't be running on WhatsApp groups and a sales CRM.

Salesforce thinks in leads and deals. You think in trips, drivers and drops. That mismatch is why so many logistics teams end up coordinating in WhatsApp groups while the expensive CRM sits half-used. Billing slips by a week or two. Disputes start. We build dispatch CRMs and ops software that follow how your fleet actually moves, so the trip record is complete before the invoice goes out.

Discuss your project

The problems we see most often

  • Dispatch handled in WhatsApp groups, with nothing searchable afterwards
  • Billing running 10–15 days behind because reconciliation is manual
  • Billing disputes that trace back to half-filled trip records
  • Management can't see where a trip is without calling someone
  • CRMs designed for sales teams, not for moving goods
  • Driver updates and client sign-offs happening informally, if at all

What we build for logistics businesses

  • Dispatch CRMs built for creating and assigning trips
  • Status updates from drivers and delivery confirmation from clients
  • Dashboards showing live trip status, with exceptions flagged
  • Billing exports straight into Tally or your accounting software
  • Route notes and proof-of-delivery capture
  • SMS and WhatsApp confirmations sent to your end clients

What we’ve actually built

Logistics / Last-Mile Delivery

A last-mile logistics company, NCR

Node.js · React · MySQL · Tally export integration · SMS delivery confirmations

They were running a dispatch operation on Salesforce, a tool designed for B2B sales teams. It was a bad fit: Salesforce thinks in pipelines, and they had trips. The real coordination happened in a WhatsApp group, so management couldn't see key decisions and billing disputes were common, with no record to settle them. Billing ran 12–15 days behind operations.

Outcome

The WhatsApp coordination group was retired within three weeks of go-live. Billing disputes fell from roughly 12 a month to 2. The billing cycle went from 12–15 days to 3. The ops manager called it 'the first time we've had an actual record of what happened on any given day'.

Read full case study

Manufacturing / Warehouse Operations

A manufacturing company with 4 warehouses, Noida

Next.js · Node.js · PostgreSQL · Tally TDL integration · Barcode scanner support · Mobile-optimised picking UI

Stock moving between warehouses went invisible for days. Goods marked dispatched from one site wouldn't show as received at the other until a manager picked up the phone to ask. Mis-picks were driving a 6% customer return rate, and the operations head couldn't trace the cause because nobody recorded who picked what. Every count was manual, so investigating a discrepancy meant physically recounting whole bays.

Outcome

Mis-picks fell from 6% to under 0.8% in the first two months. Transfer discrepancy investigations that used to eat 40 hours a month now take under 5. The Tally sync made the manual entry role unnecessary, and that person moved on to more useful work. The operations head can see stock by location across all four warehouses on one dashboard, without calling anyone.

Read full case study
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Have a logistics project that needs a custom system?

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