Compare your options

Every beverage data tool solves one slice. Shopra connects them all.

Spreadsheets, generic BI, single-source reporting tools, beverage CRMs each does a piece. Here's an honest look and what a dedicated intelligence layer does instead.

The four ways brands do this today

Each option is good at something.
None gives you the whole picture.

Most beverage teams are choosing between four approaches. They're not wrong they're just partial.

Option 1

Spreadsheets & manual reporting

Good at: flexible, free, total control.

Leaves you stuck: 3–4 people and 2–3 weeks to compile a report that's stale on arrival, and a number that never quite agrees with last week's.

Option 2

Generic BI (Tableau, Power BI)

Good at: powerful visualization, flexible, well-documented.

Leaves you stuck: no beverage-native data normalization you need a data engineer to build and maintain the pipelines, and the hard part (clean, matched data) is still on you.

Option 3

Single-source reporting tools

Good at: deep, trusted reporting on one data source.

Leaves you stuck: centered on one feed, so your shipments, other distributors and every retailer's scan portal still get stitched together by hand and you build the report to find the answer.

Option 4

Beverage CRMs & sales suites

Good at: field-team activity, account visits, placement tracking.

Leaves you stuck: built around rep execution, with depletion data bolted on not a unified, ask-anything view of your whole business.

Side by side

The honest comparison.

How the four approaches stack up against a dedicated beverage intelligence layer, on the things that actually decide whether you can act.

Capability
Spreadsheets
Generic BI
Single-source tools
Beverage CRMs
Unifies every data source
by hand
you build it
by hand
CRM-centric
Shopraall sources
Beverage-native (three-tier)
generic
Shopra
Ask in plain English (AI)
limited
by hand
Shopra
Proactive alerts & tasks
activity-based
Shopraauto-assigned
AI demand forecasting
built it
Shopra
Done-for-you · live in 14 days
needs engineer
Shopra
You own the data warehouse
but messy
in their tool
Shopra

Built for it

Partial / with effort

Not really

Shopra doesn't replace what these do well. it sits on top of your sources (including the tools you already trust) to unify them and make them act.

What makes Shopra different

One layer that does the part everything
else leaves to you.

Automated

alerts

Flagged when a stock rate drops, an order slips, or a number moves, routed to your inbox or Slack.

Dig into any data point

Ask questions in plain English and get answers in seconds, no query writing required.

Forecasting

See where you're trending, model demand shifts, and run scenarios to pressure-test trade and inventory decisions.

Daily digest

Know what orders received and shipped out, and how you are trending to forecast.

Reporting and reviews

Build monthly and weekly business reviews in a few clicks, and drop any chart straight into your deck.

Not a rip and replace

Works with the systems you already trust.

Shopra plugs into your existing ERP, distributor and scan feeds and keeps them in sync automatically. Keep what works we make it work together.

14 days

From kickoff to fully 
connected

24 hrs

Refresh across
every source

10x

Find gaps faster,
hit your goals

0

Migrations or IT
projects

jump ahead

Stop guessing.

Start operating.

Book a demo and see your drivers, your drags and where to act on your own data, in the exact view above. A specialist walks you through it within one business day.

Access to all platform features

White-glove data setup, end to end

Most brands are live within 14 days

No contract, no obligation

Book your demo

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