SocialHub.AI

Decide · Business Goals

Set the target, break it down, track it home.

Turn any governed KPI into an operating goal that answers to someone — decomposed down to the store and the month, and reconciled back up automatically from real orders. From a number on the wall to a map you can actually run.

Audio

2:20 · Yunshang breaks ¥60M into a tree of store-months — then watches it roll back up. English & 中文.

The goal

“¥60M this year.” It's on the wall. Now who owns it?

Yunshang, an apparel chain, sets one big target for the year: ¥60M in GMV. Everyone can recite it. But a single number pinned to the wall answers to no one — no store knows its share, no month has a line to hold, and by the time the quarter closes it's too late to steer.

A goal only becomes real when it's broken into pieces small enough to own — and reconciled often enough to act on. That's what Business Goals does.

FY Goal · Annual GMV

¥60M

One target. No owner. No pace. No warning.

Unassigned — nobody accountable

Decompose

One tree, two axes: time and organization.

The ¥60M hangs at the top of a single parent-child tree. It splits by time — year into quarters into months — and by organization — the whole company into store regions into each store. The same tree carries both relationships, so every leaf is a specific store in a specific month, and every parent is exactly the sum of its children.

Time axis · year → quarter → month

Q118%

¥10.8M

Post-holiday reset; spring drop.

Q222%

¥13.2M

Mid-year sale ramps the base.

Q326%

¥15.6M

Back-to-season demand builds.

Q434%

¥20.4M

Carries 11.11 and the year-end peak — the make-or-break quarter.

Q4 → months — the same axis, one level deeper

Oct

¥5.71M

Nov

11.11 + pre-holiday

¥8.16M

Dec

¥6.53M

Organization axis · company → region → store

West region58%

7 stores

¥34.8M

Each store carries its own line, month by month.

East region42%

5 stores

¥25.2M

Each store carries its own line, month by month.

Two axes, one tree — so “¥60M this year” resolves all the way down to Chengdu Taikoo Li, November: ¥720K, and rolls back up without anyone reconciling a spreadsheet.

Execute

Every store manager opens to one number that's theirs.

A store manager doesn't see ¥60M — they see this store, this month: their target, where they stand, and how the pace is trending. It's a line they can actually hold.

  • One caliber. The goal tracks the exact same governed KPI your dashboard reads — defined once on one engine — so the target and the actual can never quietly mean two different things.

  • Actuals from real orders. The number fills in automatically from the order stream — no store keying figures into a form, no month-end reconciliation ritual, nothing to fudge.

  • Zero manual reporting.The store's job is to sell, not to report; the report writes itself.

November · store-month goals

Auto rollup

Chengdu Taikoo Li

Target ¥720K · Actual ¥788K

109%

Shanghai IAPM

Target ¥910K · Actual ¥845K

93%

Xi'an SKP

Target ¥560K · Actual ¥402K

72%

The same figures that feed each store manager's view sum straight up the tree — no re-entry.

Achieve

Attainment rolls up on its own — and warns you before it's too late.

Every store-month's actual sums up the same tree it was split down: store into region, month into quarter, quarter into year. At any level you get a live read on where you stand.

It aggregates upward

Store → region → company, and month → quarter → year. Ask any node and the answer is already computed — the year's attainment is just the leaves, added up.

Store-month · 109%

→ Region · 96%

→ Company · 101%

Red / yellow / green, with pace

Each node is colored by a pace projection — not just where it is today, but where today's run-rate lands it by the deadline.

On trackPace projects to hit or beat the target.

At riskSlipping — pace lands just short without a nudge.

Off trackBehind, and an alert has already fired to the owner.

Falling behind? It tells you.

The moment a goal's pace turns off track, an alert fires to its owner — while there's still a month left to fix it, not a post-mortem after the quarter closes.

Off track · Xi'an SKP

72% of November target with pace projecting a shortfall.

From a slogan on the wall to an operating map

One target, decomposed on one tree across time and organization, executed by every store on one caliber, and reconciled back up automatically — traceable from the year all the way down to a single store-month.

Two axes

time and organization, on one parent-child tree

One caliber

the same governed KPI as your dashboard

Auto rollup

actuals from real orders — zero manual reporting

RYG + alerts

pace projection and an off-track warning in time to act

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Break your target down to the store-month — and watch it track itself home.

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