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Wholesale Sales Intelligence Software

Show sales teams which wholesale accounts need attention next.

Use order history, app adoption, repeat products, manual-channel pressure and customer details to guide practical sales follow-up.

Porosi supplier admin dashboard for food and beverage wholesalers using ordering behaviour to prioritise sales and account follow-up
Porosi dashboard order detail view for supplier staff
Porosi buyer order detail screen for food and beverage wholesalers using ordering behaviour to prioritise sales and account follow-up
Staff action
Example order Sales intelligence action board
  1. 01

    Account signal reviewed

  2. 02

    Adoption gap spotted

  3. 03

    Repeat product checked

  4. 04

    Next sales action chosen

Real Porosi product screens. Customers can order on iOS, Android or the web, and submitted orders appear in the supplier dashboard for review.

Intelligence route

Keep sales intelligence grounded in verified ordering behaviour.

Porosi is not a CRM, BI warehouse or automatic revenue engine; it helps teams use ordering evidence they can inspect before deciding account follow-up.

01

Start with account behaviour

Review order frequency, repeat products and app or web adoption before assigning action.

02

Spot gaps staff can verify

Separate customers that need onboarding, rep support, product follow-up or order desk help.

03

Connect promotions carefully

Use relevant specials and account prices inside the ordering context customers already trust.

04

Review outcomes

Check whether account action improves ordering behaviour or reduces manual-channel pressure.

One order, two perspectives

Sales intelligence is useful when it changes the next account action.

A buyer builds the order from the products, prices and history available to their account. When they press submit, customer ordering behaviour, assigned accounts, app adoption and repeat products stay with the order, so the supplier can check it without retyping a call, email or message.

Customer side

Commercial teams need

  • A practical view of which accounts need support.
  • Ordering history behind product and promotion conversations.
  • Signals that reps can verify before contacting customers.
Supplier side

Supplier teams need

  • Account follow-up tied to app, web and manual-channel behaviour.
  • Less guesswork around adoption gaps.
  • Sales action that still respects operational review.
What the supplier receives

What matters in sales intelligence: the account decisions it supports.

The supplier team receives one order record with customer ordering behaviour, assigned accounts, app adoption and repeat products. Staff can check exceptions before picking, delivery or invoice preparation begins.

Signal
Vanity metric

Dashboard numbers do not tell staff what to do next.

Account evidence

Ordering behaviour points to a practical follow-up.

Upsell
Automatic suggestion

Teams risk pushing irrelevant products.

Verified context

Promotions and products stay tied to account buying habits.

Workflow
Disconnected CRM

Sales action sits outside the order day.

Supplier workflow

Teams inspect ordering evidence near the dashboard review path.

Rollout

Launch sales intelligence with accounts that show adoption gaps.

Use recent orders, inactive accounts and manual-channel examples so sales action is based on evidence rather than broad assumptions.

01

Choose account groups

Compare active app users, web users and customers still sending manual orders.

02

Review ordering signals

Look at repeat products, missed orders, support load and promotion fit.

03

Pick account actions

Assign rep follow-up, onboarding support or product conversations based on visible evidence.

FAQ

Frequently asked questions about Wholesale Sales Intelligence Software

How would Wholesale Sales Intelligence Software work for a regular customer?

Porosi is not a CRM, BI warehouse or automatic revenue engine; it helps teams use ordering evidence they can inspect before deciding account follow-up.

What can buyers do with sales intelligence?

A practical view of which accounts need support. Ordering history behind product and promotion conversations.

What does the supplier team receive from sales intelligence?

Account follow-up tied to app, web and manual-channel behaviour. Less guesswork around adoption gaps.

How does Porosi start a rollout?

Use recent orders, inactive accounts and manual-channel examples so sales action is based on evidence rather than broad assumptions.

See it with your own accounts

Map sales intelligence around your current account signals.

Bring customer order history, adoption concerns, specials and rep follow-up examples so the demo follows real account action.