Use case · Sales & Distribution

From a depot number to a truck-loading plan.

A volume drop shows up at depot level today. Six weeks later it shows up as lost share. The chain that closes that gap is three questions long, and Theovya runs all three on the same data.

Step

01 of 03

Answers

what happened

Engine

Analytics Engine

Status

available today

Step 01 · Analytics Engine

Available today

What happened?

Which SKUs are declining in Chattogram, by distributor, over the last eight weeks?

Sell-in vs. sell-out gap by distributor. Outlet coverage and strike rate by route. Pack-mix shift by channel. Answered from the DMS in seconds, not as a Monday report.

Pack mix, declining packs highlighted Illustrative figures
RGB 250ml
PET 600ml −14%
PET 1L
PET 2L −9%
CAN 250ml

Terms on this page

DMS
Distributor management system: where distributors record orders, stock, and deliveries.
Sell-in, sell-out
What the business ships to its distributors, and what those distributors sell on to outlets.
Strike rate
The share of outlet visits on a route that end in an order.
RGB, PET, CAN
Pack types: returnable glass bottle, plastic bottle, and can.

How the Analytics Engine gets there

  1. 01Our proprietary agentic orchestration interprets the intent and translates it into structured SQL. Nothing else is asked of the model.
  2. 02Generated SQL is validated against the live schema before it runs, connected read-only to the databases, ERPs, and CRMs already in place.
  3. 03The database executes the query and returns rows, deterministically, from the company’s own records.
  4. 04Results render as charts, get pinned into living dashboards, or carry alert conditions that run against fresh data.

Available today. Live and deployable today, cloud or on-premise.

Explore the Analytics Engine

What changes

The relay today

Leader → analyst → database team → dashboard → review. Days later, a chart answering last week’s question.

With Theovya

The person with the question gets the answer directly, in seconds, from live data.

The same three questions every distribution business asks. The difference is that here they are asked by the same person, on the same afternoon.

Use case · Sales & Distribution

From a depot number to a truck-loading plan.

A volume drop shows up at depot level today. Six weeks later it shows up as lost share. The chain that closes that gap is three questions long, and Theovya runs all three on the same data.

Step

01 of 03

Answers

what happened

Engine

Analytics Engine

Status

available today

Step 01 · Analytics Engine

Available today

What happened?

Which SKUs are declining in Chattogram, by distributor, over the last eight weeks?

Sell-in vs. sell-out gap by distributor. Outlet coverage and strike rate by route. Pack-mix shift by channel. Answered from the DMS in seconds, not as a Monday report.

Pack mix, declining packs highlighted Illustrative figures
RGB 250ml
PET 600ml −14%
PET 1L
PET 2L −9%
CAN 250ml

Terms on this page

DMS
Distributor management system: where distributors record orders, stock, and deliveries.
Sell-in, sell-out
What the business ships to its distributors, and what those distributors sell on to outlets.
Strike rate
The share of outlet visits on a route that end in an order.
RGB, PET, CAN
Pack types: returnable glass bottle, plastic bottle, and can.

How the Analytics Engine gets there

  1. 01Our proprietary agentic orchestration interprets the intent and translates it into structured SQL. Nothing else is asked of the model.
  2. 02Generated SQL is validated against the live schema before it runs, connected read-only to the databases, ERPs, and CRMs already in place.
  3. 03The database executes the query and returns rows, deterministically, from the company’s own records.
  4. 04Results render as charts, get pinned into living dashboards, or carry alert conditions that run against fresh data.

Available today. Live and deployable today, cloud or on-premise.

Explore the Analytics Engine

What changes

The relay today

Leader → analyst → database team → dashboard → review. Days later, a chart answering last week’s question.

With Theovya

The person with the question gets the answer directly, in seconds, from live data.

The same three questions every distribution business asks. The difference is that here they are asked by the same person, on the same afternoon.