POWER LADDER · CONSULTING & SYSTEMS INTEGRATORS
Strategy, connected
data and a clearer
next move.
Business Play brings expert judgment, business evidence and financial readiness into the same decision.
Photograph by Dithanon Khrutmuang
Playing to Win → Consulting
We apply ideas from Playing to Win by A.G. Lafley and Roger L. Martin to clarify where to compete, how to win and which capabilities to build. Business Play connects these choices to practical decisions and financial constraints.
Snowflake → Systems Integration
We use Snowflake to connect sales, inventory, cost and finance data. Data Science helps examine demand and uncertainty. Experts check the evidence and trade-offs; clients approve the action.
Compare options using shared evidence, see the effect on cash, and revisit the decision faster when conditions change.
A DECISION EXAMPLE, EXPLAINED HERE
The cash requirement changes the buying plan.
With opening cash of THB 3 million, compare three fixed plans. The teaching rule selects the highest forecast revenue coverage among the plans that meet the cash requirement.
Invented training example · amounts in THB million
Plan
Purchase commitment
Cash remaining
Forecast revenue covered
Two batches · 150 units
First batch · 80 units
Wait · 0 units
0.90
0.50
0
2.10
2.50
3.00
1.50
1.00
0
Keep at least THB 2.0M
Two batches cover the most forecast revenue among the three feasible plans. Review demand before releasing the second batch.
Keep at least THB 2.4M
First batch only becomes the highest-coverage feasible plan. It leaves a larger cash buffer, with lower revenue coverage.
A THB 4.0M requirement makes all three plans infeasible: starting cash is only THB 3.0M. An expert must review the assumptions and next step.
Entirely synthetic training data, separate from Belly Thailand. This comparison has no live Snowflake connection and does not approve a purchase. It compares three fixed plans; it does not forecast or optimize them.
The Belly case below shows the business context, original product screens and the existing Data Science scenario analysis.
References: Playing to Win, A.G. Lafley & Roger L. Martin, Harvard Business Review Press; Snowflake platform documentation. Training comparison adapted from Power Ladder’s synthetic decision demo.
THE BELLY THAILAND EXAMPLE
The wrong stock can cost twice.
At Belly Thailand, the founder faced two connected questions: which products could sell, and how much cash could the business commit?
Data Science connects customer insight to buying decisions.
In Dithanon’s account of Belly Thailand, customer records from Line OA and Facebook Messenger were brought into ActiveCampaign to examine purchasing behaviour and brand retention, informing advertising allocation and product-profitability questions. The inventory and cash examples below extend that business context. This founder-reported history does not imply that every earlier system ran on Snowflake.
Opportunity Score
Financial Readiness Score
80
70
75
Sweet Spot
Handle the Ski
The displayed Business Play balances opportunity and financial readiness. Scores are from this demo snapshot.
Belly Thailand product demonstration · Opportunity 80, Financial Readiness 70, Sweet Spot 75.
Belly’s reported outcomes
฿454,000 capital freed
−45% dead stock
4× → 7× inventory turnover
About these results
Owner-reported in June 2026, following work that began in July 2025. The earlier case also reported inventory down 24%, stockouts down 8% and forecast accuracy of 85%. These figures have not been independently verified and are separate from the demonstration and simulation on this page.
INSIDE THE BELLY EXAMPLE
Four questions. One buying decision.
Sales, customer, marketing and finance data inform one buying decision. All four product screens are shown below.
How much can I order?
See a proposed commitment and its cash impact before approving the order.
฿1.07M
displayed commitment
1.18
post-order quick ratio
5.2 months
displayed cash runway
Product demonstration · Thai interface · Example figures. Select the image to enlarge.
Which products should I buy?
Read the funded products, held-back items and batch conditions—with a reason for each.
3
funded products
2
cash-trap rejects
Product demonstration · February 2026 example. The displayed totals are under review. Select the image to enlarge.
Can the business carry the order?
Check cash, receivables, debt and the budget cap. Review forecast uncertainty and downside before committing.
฿2.84M
cash input
฿1.26M
receivables input
฿1.20M
budget cap
Product demonstration · Example financial inputs. Select the image to enlarge.
Why this recommendation?
Ask for the reasoning and conditions. Review the plan with a Business Play Strategist before you approve it.
Ask why
trace the reasoning
You decide
human approval
Product demonstration · Example explanation of a proposed order. Select the image to enlarge.
About the demo figures
These are captured product demonstrations, not a live connection or a current purchase recommendation. The SKU quantities and unit costs sum to ฿917,800; the screen displays ฿1,070,000. That difference is unresolved, so these totals should not be read as verified financial results.
SNOWFLAKE-POWERED BUSINESS PLAY
See Business Play on Snowflake.
See the decision framework and inventory workflow in the app.
Read the Belly case study + Quiz (English)
อ่านกรณีศึกษา Belly และลอง Quiz ภาษาไทย
48-second product demonstration · No audio.
Let’s discuss your next business decision.
Tell us the decision, constraints and data you have. Power Ladder combines Consulting and Systems Integration to help your team assess the next move.
เล่าโจทย์ ข้อจำกัด และข้อมูลที่มีผ่านฟอร์มด้านล่าง เพื่อให้ทีม Power Ladder ช่วยประเมินก้าวถัดไปของธุรกิจ
Power Ladder · Consulting & Systems Integrators
Business judgment. Data. A practical next move.