How Fynd made JioMart's order journey visible end to end

JioMart operates fast commerce nationwide. Every order goes through confirmation, picking, billing, packing, dispatch and delivery before reaching the customer. Any problem at any step leads to complaints or refunds. At this scale, the key question is not if something went wrong, but which store, which stage and what to do next.

Fynd created JioMart OS to solve this: a single operations system that shows everyone, from the National Operations Centre to store managers, the full customer order process in one shared view.

The challenge: Why one view of the order journey wasn't enough

One journey, many disconnected views 

An order involves many teams and systems. Without a shared view, it's easy to notice a problem but hard to know why it happened, who was affected or how serious it is. 

No path from a national number to a store-level fix 

A drop in a national metric doesn't reveal which store caused it. Without a way to trace the problem back, issues remain visible but unresolved. 

One team, many needs 

A store manager needs to fix their store. A cluster head compares stores. A regional head tracks a whole state. Using different tools for each role only creates conflicting numbers.

Live data that's hard to trust 

During busy times, incomplete or delayed data causes false confidence instead of clear insight.

The solution: A live operations cockpit built by Fynd

Fynd designed JioMart OS as one product that adjusts to the user. A store manager sees their store, a cluster head sees their cluster, the NOC sees the whole network and everyone works with the same data, so no one needs to reconcile numbers, just filter them.

From network to named store 

Fynd created a clear path to track issues: the NOC spots a pattern in the national view, the issue map narrows it to a state and store and cluster leaderboards identify the exact store responsible. A national number becomes a specific store with an owner. 

Evidence, not just a score 

At the store, the AI chat helps find the root cause: which picker or rider caused defects, which products cause shortpicks or complaints, and if staffing is enough. The result is a list of fixes, not just a worrying number.

A live feed built to be trusted 

Fynd made the data feed handle duplicate updates and delays without losing trust. Teams always see the most accurate, up-to-date picture, not a static report.

Visibility that turns into action 

Fynd goes beyond dashboards: stuck orders go straight to the right manager, alerts use plain language and unresolved risks escalate automatically. Visibility leads to action.

The impact: From national signal to store-level action

With JioMart OS, Fynd gave every part of the business a shared way to see and act on the customer journey:

• NOC teams spot a national drop early, before it causes many complaints.

• Regional and cluster heads can find the exact store causing a regional issue, using the same leaderboard everyone else sees.

• Store managers move from yesterday's score to today's live queue to the specific order causing the problem, fixing issues instead of just reading about them.

• Every role uses the same live, updated truth, not an outdated report.

Fynd turned a national alert into a store-level fix, with proof to act before customers notice any problems.

Running quick commerce without one view of the order journey?

See how Fynd gives every team one view, from the network down to the order.

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