How do we join e-commerce and POS data?

Join both live in your warehouse to analyze the customer journey across channels and attribute revenue, with no extracts.

Can we test promotions before they run?

Model price and promo scenarios against historical lift and margin, route them for approval, and track results against forecast once the promo runs.

Can planners keep working in a spreadsheet?

Yes. Sigma works like a spreadsheet, with the formulas planners already know, and calculations run in your warehouse. Targets and overrides entered in the grid save to the warehouse with who changed them.

How do we get one number leadership trusts?

Define each metric once in a Sigma data model on your warehouse. Apps and reports read the same definition, so the CEO’s dashboard and finance’s deck match.

Can store managers explain misses from the store?

Yes. Rows that miss target by more than a set threshold ask the manager for a reason, an agent suggests one from the data, and the comment saves to the warehouse.

Can franchisees and partners see only their own results?

Yes. Sigma inherits your warehouse’s row-level security, so each franchisee, dealer, or partner sees only their own results. Embed the app in the portal they already use, and they can add their own inputs, saved to the warehouse.

How do forecast approvals lock a plan?

Planners submit a scenario, leadership approves it in the app, and the approved forecasts lock for that dimension so no one edits them afterward.

Sigma for retail and consumer goods teams

Build AI apps for demand planning, inventory, and promotions, with agents that flag when results drift from plan and explain why.

Book a demo Start a free trial

Plan on live POS data
Forecast, adjust, and review in a grid on the same data your stores report from.
Approvals that lock the plan
Scenarios go to leadership, and approved forecasts lock so the numbers stop moving.
Agents that explain the miss
Agents track results against plan and explain what’s driving the gap.

Demand planScenariosAccuracySupply

North AmericaMaya ReyesDemand plannerMR

Rolling 12 months · 3 actual + 9 forecast · K cases

Demand plan, Jul '26 to Jun '27

ScenarioHoliday multipackApprovals (1)Submit for approval

Forecast by category

Edit forecast months in your scenario. Quarters sum their months.

Actual, read-onlyForecast, editableLocked

	Actuals				Forecast · Holiday multipack
Category	Jul	Aug	Sep	Q3 '26	Oct	Nov	Dec	Q4 '26	Jan	Feb	Mar	Q1 '27	Apr	May	Jun	Q2 '27	12 mo
Sparkling water	452	468	421	1,341	402	388	415	1,205	352	361	398	1,111	426	455	489	1,370	5,027
Cold brew	214	221	182	617	208	196	188	592	176	181	197	554	210	222	236	668	2,431
Kombucha	136	131	128	395	124	118	121	363	115	119	127	361	133	138	142	413	1,532
Electrolyte mix	98	104	87	289	76	64	61	201	66	72	84	222	95	108	117	320	1,032
Total	900	924	818	2,642	810	766	785	2,361	709	733	806	2,248	864	923	984	2,771	10,022

Scenarios

Change is vs the baseline, Oct to Jun

Scenario	Category	Change	Status
Holiday multipack	Sparkling water	0	Draft
Shelf reset	Kombucha	−18K	Pending approval
Baseline Oct	All categories	–	Baseline

Q3 forecast accuracy

Actual vs the forecast locked Jun 30, K cases

Category	Actual	Forecast	Variance
Sparkling water	1,341	1,322	+1.4%
Cold brew	617	634	−2.7%
Kombucha	395	391	+1.0%
Electrolyte mix	289	301	−4.0%
Total	2,642	2,648	−0.2%

Demand Planning Agent

New chat

I compare scenarios and explain forecast misses with this plan's actuals, shipments, promos and DC inventory.

Ask anything

AI can make mistakes. Please double-check responses.

Trusted by retail and consumer goods teams

One retail plan

Retail plans live in too many spreadsheets

Merchandising, supply chain, and stores each keep their own version, and nobody is sure which forecast leadership approved.

Today	With Sigma
Forecast overrides kept in disconnected spreadsheets	Overrides saved to the warehouse so every team sees one plan
Two dashboards, two answers in front of the CEO	One definition behind every report
Store misses explained on calls and forgotten	Store managers record why they missed next to the numbers
Promotions approved in email with no record of the scenario	Promo scenarios approved with a full audit history
Franchisees get a monthly revenue number	Each franchisee sees and updates their own results
Lease decisions documented in slide decks	Committee decisions recorded with the pro forma behind them

From data to revenue growth

Each app pairs live data with an action, and agents watch the results.

Misses explained

Live store ops flash reporting

Store and region flash reporting on live POS data. Drill into any KPI to see what’s driving it. Managers note why they missed in the app, and an agent flags products trending off plan.

Daily flash on live POS data
Store manager comments saved to the warehouse
Agents automatically narrate developing trends

Store flashLaborInventoryTasks

Store 0418 · Columbus EastMarisol AlvarezStore manager

Store flash · FY26 week 5 · Mar 1 to Mar 7

Sales vs target by department

DayWeekHour

Sales, week 5

$350.6K

−14.5%vs target $410.0K

Units sold

3,062

Across 7 departments

Margin

22.0%

−0.4 ptsvs plan 22.4%

Explanations open

1 of 3

3 rows flagged this week

Department roll-up

Misses beyond −20% vs target, or margin more than 3 pts under plan, need an explanation

Department	Sales	Target	vs target	Units	Margin	vs plan	Status
Laptops	$47,800	$96,000	−50.2%	79	17.2%	−2.3 pts	Explained
TVs	$88,400	$92,000	−3.9%	141	13.6%	−1.2 pts
Gaming	$41,300	$54,000	−23.5%	212	21.0%	−0.5 pts	Explained
Mobile and wearables	$63,900	$61,000	+4.8%	318	24.8%	+0.8 pts
Small appliances	$52,700	$50,000	+5.4%	604	21.3%	−4.3 pts	Explanation needed
Smart home	$24,600	$27,000	−8.9%	286	31.2%	+0.7 pts
Accessories	$31,900	$30,000	+6.3%	1,422	42.5%	+1.5 pts
Store total	$350,600	$410,000	−14.5%	3,062	22.0%	−0.4 pts

Explain Laptops · $47.8K vs $96.0K target, −50.2%

The Store Flash Agent drafts a reason from sales by SKU, inventory and promos

Laptops −50.2% vs target: 3 of the top 5 SKUs were out of stock Tue to Thu after a DC short-ship. Restock landed Fri 7 AM.

Suggest a reason

Save explanation

Week 5 checklist

4 of 6 done

Set up the spring patio and grill displays

J. Ortiz · Mon

Swap holiday endcaps for spring seasonal

R. Patel · Tue

Cycle count the electronics cage

M. Alvarez · Sat

Reset the TV wall for 2026 models

Open

Check Week 5 ad signage and price tags

A. Chen · Mon

Pull damaged small appliances for return

Open

Saved explanations

Read by the district flash

LaptopsM. Alvarez · Sat

3 of the top 5 SKUs were out of stock Tue to Thu after a DC short-ship. Restock landed Fri 7 AM.

GamingD. Kim · Fri

Console bundle truck moved to Week 6; 140 preorders carry over.

Smart homeD. Kim · Wk 4

Doorbell recall pulled 2 SKUs on Tuesday.

Store flashLaborInventoryTasks

Store 0418 · Columbus EastMarisol AlvarezStore manager

Store flash · FY26 week 5 · Mar 1 to Mar 7

Sales vs target by department

DayWeekHour

Sales, week 5

$350.6K

−14.5%vs target $410.0K

Units sold

3,062

Across 7 departments

Margin

22.0%

−0.4 ptsvs plan 22.4%

Explanations open

1 of 3

3 rows flagged this week

Department roll-up

Misses beyond −20% vs target, or margin more than 3 pts under plan, need an explanation

Department	Sales	Target	vs target	Units	Margin	vs plan	Status
Laptops	$47,800	$96,000	−50.2%	79	17.2%	−2.3 pts	Explained
TVs	$88,400	$92,000	−3.9%	141	13.6%	−1.2 pts
Gaming	$41,300	$54,000	−23.5%	212	21.0%	−0.5 pts	Explained
Mobile and wearables	$63,900	$61,000	+4.8%	318	24.8%	+0.8 pts
Small appliances	$52,700	$50,000	+5.4%	604	21.3%	−4.3 pts	Explanation needed
Smart home	$24,600	$27,000	−8.9%	286	31.2%	+0.7 pts
Accessories	$31,900	$30,000	+6.3%	1,422	42.5%	+1.5 pts
Store total	$350,600	$410,000	−14.5%	3,062	22.0%	−0.4 pts

Explain Laptops · $47.8K vs $96.0K target, −50.2%

The Store Flash Agent drafts a reason from sales by SKU, inventory and promos

Laptops −50.2% vs target: 3 of the top 5 SKUs were out of stock Tue to Thu after a DC short-ship. Restock landed Fri 7 AM.

Suggest a reason

Save explanation

Week 5 checklist

4 of 6 done

Set up the spring patio and grill displays

J. Ortiz · Mon

Swap holiday endcaps for spring seasonal

R. Patel · Tue

Cycle count the electronics cage

M. Alvarez · Sat

Reset the TV wall for 2026 models

Open

Check Week 5 ad signage and price tags

A. Chen · Mon

Pull damaged small appliances for return

Open

Saved explanations

Read by the district flash

LaptopsM. Alvarez · Sat

3 of the top 5 SKUs were out of stock Tue to Thu after a DC short-ship. Restock landed Fri 7 AM.

GamingD. Kim · Fri

Console bundle truck moved to Week 6; 140 preorders carry over.

Smart homeD. Kim · Wk 4

Doorbell recall pulled 2 SKUs on Tuesday.

Approved plans

Forecast and approve plans live in your warehouse

Planners forecast demand and adjust it in the app instead of disconnected spreadsheets. Overrides save to the warehouse, so supply chain and merchandising plan from the same numbers.

SKU- and store-level forecasting
Planner overrides and approval flows
Agent alerts on stockout and overstock risk

Demand planScenariosAccuracySupply

North AmericaMaya ReyesDemand plannerMR

Rolling 12 months · 3 actual + 9 forecast · K cases

Demand plan, Jul '26 to Jun '27

ScenarioHoliday multipackApprovals (1)Submit for approval

Forecast by category

Sparkling water approved and locked Oct 23. Quarters sum their months.

Actual, read-onlyForecast, editableLocked

	Actuals				Forecast · Holiday multipack
Category	Jul	Aug	Sep	Q3 '26	Oct	Nov	Dec	Q4 '26	Jan	Feb	Mar	Q1 '27	Apr	May	Jun	Q2 '27	12 mo
Sparkling water	452	468	421	1,341	402	430	415	1,247	352	361	398	1,111	426	455	489	1,370	5,069
Cold brew	214	221	182	617	208	196	188	592	176	181	197	554	210	222	236	668	2,431
Kombucha	136	131	128	395	124	118	121	363	115	119	127	361	133	138	142	413	1,532
Electrolyte mix	98	104	87	289	76	64	61	201	66	72	84	222	95	108	117	320	1,032
Total	900	924	818	2,642	810	808	785	2,403	709	733	806	2,248	864	923	984	2,771	10,064

Scenarios

Change is vs the baseline, Oct to Jun

Scenario	Category	Change	Status
Holiday multipack	Sparkling water	+42K	Approved
Shelf reset	Kombucha	−18K	Pending approval
Baseline Oct	All categories	–	Baseline

Q3 forecast accuracy

Actual vs the forecast locked Jun 30, K cases

Category	Actual	Forecast	Variance
Sparkling water	1,341	1,322	+1.4%
Cold brew	617	634	−2.7%
Kombucha	395	391	+1.0%
Electrolyte mix	289	301	−4.0%
Total	2,642	2,648	−0.2%

Demand Planning Agent

Q3 forecast miss

I compare scenarios and explain forecast misses with this plan's actuals, shipments, promos and DC inventory.

Where did Q3 miss forecast, and why?

Forecast vs actuals, Jul to Sep(12 rows)Promos and DC stockouts, Sep(41 rows)

Q3 came in at 2,642K cases, 6K under forecast (−0.2%). The miss is in September: Cold brew sold 182K vs 206K (−11.7%).

Cold brew, Sep miss by causeNet −24K

Promo moved to Oct 5−15K

Reno DC stockout, 9 days−9K

Electrolyte mix also missed September by 8K (−8.4%) on a cool month in the Northeast. Sparkling water beat Q3 by 19K (+1.4%), and its approved plan is now locked.

Ask anything

AI can make mistakes. Please double-check responses.

Demand planScenariosAccuracySupply

North AmericaMaya ReyesDemand plannerMR

Rolling 12 months · 3 actual + 9 forecast · K cases

Demand plan, Jul '26 to Jun '27

ScenarioHoliday multipackApprovals (1)Submit for approval

Forecast by category

Sparkling water approved and locked Oct 23. Quarters sum their months.

Actual, read-onlyForecast, editableLocked

	Actuals				Forecast · Holiday multipack
Category	Jul	Aug	Sep	Q3 '26	Oct	Nov	Dec	Q4 '26	Jan	Feb	Mar	Q1 '27	Apr	May	Jun	Q2 '27	12 mo
Sparkling water	452	468	421	1,341	402	430	415	1,247	352	361	398	1,111	426	455	489	1,370	5,069
Cold brew	214	221	182	617	208	196	188	592	176	181	197	554	210	222	236	668	2,431
Kombucha	136	131	128	395	124	118	121	363	115	119	127	361	133	138	142	413	1,532
Electrolyte mix	98	104	87	289	76	64	61	201	66	72	84	222	95	108	117	320	1,032
Total	900	924	818	2,642	810	808	785	2,403	709	733	806	2,248	864	923	984	2,771	10,064

Scenarios

Change is vs the baseline, Oct to Jun

Scenario	Category	Change	Status
Holiday multipack	Sparkling water	+42K	Approved
Shelf reset	Kombucha	−18K	Pending approval
Baseline Oct	All categories	–	Baseline

Q3 forecast accuracy

Actual vs the forecast locked Jun 30, K cases

Category	Actual	Forecast	Variance
Sparkling water	1,341	1,322	+1.4%
Cold brew	617	634	−2.7%
Kombucha	395	391	+1.0%
Electrolyte mix	289	301	−4.0%
Total	2,642	2,648	−0.2%

Demand Planning Agent

Q3 forecast miss

I compare scenarios and explain forecast misses with this plan's actuals, shipments, promos and DC inventory.

Where did Q3 miss forecast, and why?

Forecast vs actuals, Jul to Sep(12 rows)Promos and DC stockouts, Sep(41 rows)

Q3 came in at 2,642K cases, 6K under forecast (−0.2%). The miss is in September: Cold brew sold 182K vs 206K (−11.7%).

Cold brew, Sep miss by causeNet −24K

Promo moved to Oct 5−15K

Reno DC stockout, 9 days−9K

Electrolyte mix also missed September by 8K (−8.4%) on a cool month in the Northeast. Sparkling water beat Q3 by 19K (+1.4%), and its approved plan is now locked.

Ask anything

AI can make mistakes. Please double-check responses.

Holiday multipack approvedOct 23

Sparkling water is locked from Oct to Jun, so supply chain and merchandising plan from the same numbers.

Promo margin visible

Test what-if promotions before they go live

Merchants model price and promo scenarios against past lift and margin, then submit them for approval. Once the promo runs, an agent tracks results and explains any gap to forecast.

Price and promo scenario modeling
Approval workflows with full audit history
Agent tracking of lift vs. forecast

Promotion Pricing Management app

Fairday

FOODS CO.

Promo calendarApprovalsPost-eventWBR notes

Retailer Orrinsby MarketDA

Delphine Arceneaux

Revenue growth

Orrinsby Market · Nov 2026

Holiday promo plan

Weeks run Sunday to Saturday. TPR is a temporary price reduction.

Forecast margin

$59.8K

6 events, Nov 1 to Dec 5

Trade spend vs budget

119%

$142.3Kof $120K

Margin ROI

0.42

Margin $ per trade $

Open flags

1 overlap, 1 below floor

Promo calendar

GTM approvedSubmittedDraftFlagged

Category	Item	Nov 1	Nov 8	Nov 15	Nov 22
Beverages	Sparkling Water 12pk	TPR 20%
	Cold Brew 4pk	BOGO
	Protein Shake 6pk			2 for $9
Snacks	Granola Bars 10ct		$1 coupon
Snacks	Trail Mix 8oz			TPR 15%
Dairy alt.	Oat Milk 64oz				Display + 15%

Trade spend by week

ApprovedSubmittedDraft

Promo events

Margin floor 12% of promo revenue · select an event to edit or compare depths

New eventEdit event

Event	Item	Mechanic	Weeks	Base units	Lift	Margin $	Trade spend	Flag	Status
4462	Sparkling Water 12pk	TPR 20% off	Nov 1 – 14	18,400	+46%	$21,814	$34,869	OK	GTM approved
4465	Cold Brew 4pk	BOGO	Nov 1 – 7	6,900	+112%	-$3,145	$58,439	Below margin floor	Draft
4468	Granola Bars 10ct	$1 off coupon	Nov 8 – 21	12,200	+28%	$14,679	$15,616	Overlaps 4471	Draft
4471	Trail Mix 8oz	TPR 15% off	Nov 15 – 28	8,600	+22%	$8,986	$8,640	OK	GTM approved
4473	Protein Shake 6pk	2 for $9	Nov 15 – 28	9,500	+64%	$11,373	$15,424	OK	GTM approved
4476	Oat Milk 64oz	Display + TPR 15%	Nov 22 – Dec 5	7,800	+39%	$6,106	$9,290	OK	Submitted

One customer view

Unify digital and retail performance data

Analyze the full customer journey without silos. Join e-commerce and POS data live in the warehouse to uncover cross-channel behavior and attribute revenue accurately.

Agent alerts on shifts in channel mix
Customer journey and cohort analysis
Attribution modeling on live data

Channel performanceCustomersStoresMerchandise

Region NortheastWeek W42 (Oct 12–18)AK

Channel mix · Northeast

E-commerce orders and store POS · net sales

Net sales, W42

$4.80M

+3.9%vs W41

Store share

51.0%

−4.0 ptsvs W41

Digital share (web + app)

31.0%

−2.0 ptsvs W41

BOPIS share

18.0%

+6.0 ptsvs W41

Channel mix by week

Share of net sales

StoreWebAppBOPIS

Customer journey, W42

First touch by purchase channel, % of orders

First touch	Store	Web	App	BOPIS
Web browse 18,400 orders	34%	41%	3%	22%
App browse 9,600 orders	18%	6%	58%	18%
Store visit 31,200 orders	88%	5%	2%	5%

First touch

Store

Web

App

BOPIS

Web browse

18,400 orders

34%

41%

22%

App browse

9,600 orders

18%

58%

18%

Store visit

31,200 orders

88%

Attribution by channel, W42

Net sales credited, last touch vs multi-touch

Channel	Last touch	Multi-touch	Change
Store	$2,448K	$2,112K	−$336K
Web	$1,008K	$1,296K	+$288K
App	$480K	$576K	+$96K
BOPIS	$864K	$816K	−$48K
Total	$4,800K	$4,800K	$0K

Merchandising agent

New chat

Hi! I watch sales across stores, web, app and pickup. Ask me what moved and why.

Ask anything

AI can make mistakes. Please double-check responses.

Lease decisions

Build and approve lease pro formas for real estate committee

Build lease pro formas on live store data and route them to committee in the same app. Each approval updates the capital budget, so you know what’s committed and what’s left.

Lease renewal and committee workflows
Facilities work orders and R&M routing
Construction project management, from permits to punch list

Real estate capital plan

Real estate · FY2027 capital plan

Portfolio capital budget

Bramblewick

Capital budget

$24.0M

FY2027 · 4 programs

Committed

$15.9M

+$1.7Mvs last month

Remaining

$8.1M

33.8% of budget uncommitted

Pending committee

$5.2M

3 items on the Nov 4 agenda

Committee queue

Nov 4 · $K

Record decision

Item	Capital	IRR	Payback	Status
Store 118 · Renewal + remodel	1,240	14.2%	4.1 yrs	On agenda
Store 156 · Relocation	2,050	11.8%	5.6 yrs	On agenda
Store 377 · New store	1,880	16.0%	3.8 yrs	On agenda

Capital budget by program

Program	Budget	Committed	Remaining	% used
New stores	9,600	7,450	2,150	77.6%
Remodels & renewals	6,400	3,980	2,420	62.2%
Maintenance capex	4,800	2,160	2,640	45.0%
Facilities R&M	3,200	2,310	890	72.2%
Total	24,000	15,900	8,100	66.3%

Facilities work orders

R&M, routed by trade

WO	Store	Issue	Routed to	Status
WO-4471	Store 203	HVAC unit down	Coldline HVAC	In progress
WO-4468	Store 064	Door closer	Kestway Glass	Scheduled
WO-4465	Store 271	Lot lights out	Voltmark Electric	Routed
WO-4459	Store 092	Roof membrane	Ridgecap Roofing	Bid review

Construction projects

Permits to punch list

Project	Permits	Site work	Build-out	Punch list	Target
Store 341 · New store	Sep 18	Oct 9	In progress	–	Mar 12
Store 088 · Remodel	Aug 2	Aug 30	Oct 21	In progress	Nov 20
Store 362 · New store	In progress	–	–	–	Jun 4

Agents that watch the plan

Agents flag drift from plan and explain why

Agents watch sales, inventory, and promo lift on a schedule. Planners approve what changes.

1WatchA scheduled agent compares sales, inventory, and promo lift with the plan each morning.
2ExplainIt ranks the drivers, such as out-of-stocks on top sellers or promo margin, linked to the data.
3Approve the fixIt drafts an override or a transfer. A planner approves it, and it’s saved to the warehouse.

Plan Watch

Plan Watch agent

New chat

I compare sales with the plan every morning and explain what moved.

Week 42 · sales vs plan by category

Plan Watch

Sales

$125.1K

−27.7%vs plan

Categories behind

Laptops

Overrides this week

Smart home

Categories off plan

Category	Plan	Actual	vs plan	Status
Laptops	$96.0K	$47.8K	−50.2%	Behind
Small appliances	$50.0K	$52.7K	+5.4%	On track
Smart home	$27.0K	$24.6K	−8.9%	On track

Plan overrides

	Category	Change	Reason	By
1	Smart home	−$2.0K wk 43	Promo ended	D. Okafor
+

Sales vs plan by category

Laptops−50.2%Small appliances+5.4%Smart home−8.9%

Retail and CPG teams running on Sigma

View all

10X 10x increase in order volume. 6X 6x increase in revenue growth. 2.5X 2.5x increase in efficiency.Whatnot Leverages Sigma to Drive Revenue, Volume, and Efficiency

“Sigma data apps are eliminating the boundary between data entry and data consumption... We are moving a lot faster than we were before.”How Conagra Uses Sigma to Build Smarter CPG Workflows and Empower Brand Teams

“Discover how Wine.com, the nation's largest online wine retailer, transformed its data and analytics process with Sigma by achieving faster insights, improving data accessibility, and enhancing team productivity.”Wine.com Enhances Data Analytics: Faster Insights & Improved Productivity with Sigma Computing

Explore retail apps built in Sigma

Working examples from the App Library. Open one to see how it works.

Browse the App Library

Promotion Pricing Management
Optimize pricing and promotions on live warehouse data. Model scenarios, forecast lift, and act in a governed AI app.
See the app
Retail Dynamic Pricing
Analyze pricing adjustments and discount types vs. sales. Simulate promotion lift using a Databricks-hosted price-elasticity model.
See the app
Retail Sales Performance
phData’s real-time retail analytics. Manage multi-location, multi-product, multi-geo sales with consolidated orders and metadata.
See the app
Retail Footprint Tracking
Track store location changes alongside performance metrics and customer insights for retail strategy decisions.
See the app

Enterprise-grade analytics for retail scale

Built for the scale, performance, and governance demands of retail and consumer goods.

Visit the Trust Center

Secure writeback
Plans, comments, and approvals save to tables in your warehouse, with a full edit history.
Per-user OAuth
Connect with OAuth so queries run with each person’s own warehouse role.
Row- and column-level security
Reads and writes both inherit your table policies.
Audit trail
Audit logs record user activity, AI conversations, and input table edits, so you can see who changed what.
Your data stays put
Sigma queries your warehouse in place and never copies the data out.
Certified
SOC 1, SOC 2, SOC 3, HIPAA, GDPR, CCPA, and ISO 27001.

Retail and CPG FAQs

How do we join e-commerce and POS data?
Join both live in your warehouse to analyze the customer journey across channels and attribute revenue, with no extracts.
Can we test promotions before they run?
Model price and promo scenarios against historical lift and margin, route them for approval, and track results against forecast once the promo runs.
Can planners keep working in a spreadsheet?
Yes. Sigma works like a spreadsheet, with the formulas planners already know, and calculations run in your warehouse. Targets and overrides entered in the grid save to the warehouse with who changed them.
How do we get one number leadership trusts?
Define each metric once in a Sigma data model on your warehouse. Apps and reports read the same definition, so the CEO’s dashboard and finance’s deck match.
Can store managers explain misses from the store?
Yes. Rows that miss target by more than a set threshold ask the manager for a reason, an agent suggests one from the data, and the comment saves to the warehouse.
Can franchisees and partners see only their own results?
Yes. Sigma inherits your warehouse’s row-level security, so each franchisee, dealer, or partner sees only their own results. Embed the app in the portal they already use, and they can add their own inputs, saved to the warehouse.
How do forecast approvals lock a plan?
Planners submit a scenario, leadership approves it in the app, and the approved forecasts lock for that dimension so no one edits them afterward.

Bring the plan your merchants rebuild on Mondays

We’ll show demand planning, the store flash, and a lease review running as apps on your warehouse.

Book a demo Start a free trial

Sigma for retail and consumer goods teams

Plan on live POS data

Approvals that lock the plan

Agents that explain the miss

Live store ops flash reporting

Forecast and approve plans live in your warehouse

Test what-if promotions before they go live

Unify digital and retail performance data

Build and approve lease pro formas for real estate committee

Agents flag drift from plan and explain why

Promotion Pricing Management

Retail Dynamic Pricing

Retail Sales Performance

Retail Footprint Tracking

Secure writeback

Per-user OAuth

Row- and column-level security

Audit trail

Your data stays put

Certified

Bring the plan your merchants rebuild on Mondays