Ward
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SAP

Integration · ERP

Ward +
SAP

Your SAP data holds answers your team doesn’t have time to extract. Ward connects to SAP Retail (S/4HANA, ECC, CAR) via standard BAPIs and IDocs. Transaction data, inventory positions, and master data flow into Ward without custom development.

See what Ward finds →

KPI Impact

What’s hiding in your
SAP data.

The problems are already in SAP. Ward finds them and explains why.

Replenishment Accuracy

Gaps flagged early

Inventory positions matched to POS velocity before shelf impact.

Shrinkage

Anomalies surfaced continuously

Transaction-level detection catches what periodic audits miss.

Forecast Accuracy

External signals layered

Weather, events, and competitor data sharpen SAP demand signals.

Promo ROI

True lift isolated

Sell-through data exposes cannibalization and halo effects.

The Data Lake

SAP data, married to
everything else.

SAP is one signal. Ward combines it with weather, events, competitor pricing, and more.

app.getward.ai Live demo

Acme Retail @Merchandising: VP Analyst claude-sonnet default

Chat

Ask anything. Ward routes to the right agent and returns cited answers.

Why did Store 37 miss target last week?

You · 9:42 AM

Schema Scout · routed to Merchandising Agent

I pulled Store 37’s last 28 days against the chain baseline. Two root causes, both compounding.

Signal	Finding
`labor_efficiency`	Rev/labor-hour −22% vs. cluster, staffing mismatch at 11a–1p peak
`inventory.fresh`	Fresh fill 83%, backroom replenishment lag at 2–4p
`promo.lift`	BOGO crackers cannibalized Brand Y by 28%, net category +6%

Recommend: re-baseline Store 37 schedule against true peak, raise replen window to 1p, and review the BOGO before next cycle.

8 parallel queries 3 sources cited confidence 0.92

Show me how to fix the staffing mismatch.

You · 9:43 AM

Labor Agent · drafting schedule diff

Querying labor_scheduling…

› Ask anything, Ward routes to the right agent. Cmd+K

Dashboards

Pinned views built from saved data-lake queries.

Revenue vs. forecast +4.2% WoW

Gross margin % −3.2pp

Fill rate, fresh 83%

Shrink, West region +0.8pp

Models

Browse, search, and manage data–lake model definitions for your tenant.

Search models…

Name	Namespace	Version
`retail_pos_transactions`	retail	1.0
`retail_inventory_snapshot`	retail	1.2
`retail_labor_scheduling`	retail	1.0
`retail_promo_calendar`	retail	1.1
`retail_supplier_performance`	retail	1.0
`sap_inventory_shrinkage`	sap	1.0
`ga4_daily_events`	marketing	1.0
`meta_ads_ad_level`	marketing	1.0

Sources

Connect external systems to the data lake.

Search sources…

Name	Type	Last sync
`sap_pos_transactions`	import	2m ago
`sap_inventory_shrinkage`	import	2m ago
`sap_labor_scheduling`	import	14m ago
`retail_inventory_weekly`	import	1h ago
`retail_google_ads_daily`	import	1h ago
`retail_meta_ads_daily`	import	1h ago
`retail_ga4_website_daily`	import	1h ago

Architecture

Two ways to connect. Federate against your live systems, or ingest into Ward’s data lake. Toggle below.

Your systems · read-only

SAP Retail

Snowflake

BigQuery

Shopify

Toast POS

Ward Gateway

TLS 1.3 · AES-256

Querying live · data stays put

Federated answers

SELECT * FROM sap.pos

JOIN snow.inventory

WHERE store_id = 37

→ insight cards

Ward Data Lake

→ baselined per store

TLS 1.3 in transit AES-256 at rest Read-only credentials SOC 2 II in progress VPC peering · PrivateLink

Pipelines

Move data from sources into models on a schedule.

Name	Source	Model	Status	Schedule
`sync_sap_pos_transactions`	sap_pos_transactions	pos_transactions	enabled	hourly
`sync_sap_labor_scheduling`	sap_labor_scheduling	labor_scheduling	enabled	daily
`sync_sap_inventory_shrinkage`	sap_inventory_shrinkage	inventory_shrinkage	enabled	daily
`sync_retail_inventory_weekly`	retail_inventory_weekly	inventory_weekly	enabled	weekly
`sync_retail_google_ads_daily`	retail_google_ads_daily	google_ads_daily	enabled	daily
`sync_retail_ga4_website_daily`	retail_ga4_website_daily	ga4_website_daily	enabled	daily

Streams

Real-time ingestion pipelines.

0events / min

0streams active

0% delivered

pos.txn store_037, basket $42.18
inv.move dc_west → store_104
labor.clock store_022 shift_start
pos.txn store_211, basket $19.04

Policies

Browse and manage Cedar access policies for your tenant.

TLS 1.3 AES-256 Read-only SOC 2 II

Policy ID	Effect	Resources
`merch-read-default`	permit	Model::*
`finance-read-shrinkage`	permit	Model::"shrinkage"
`vendor-blocked`	forbid	Model::"labor_*"
`region-west-only`	permit	Tenant::"acme"

Entities

Principals and resources referenced by Cedar policies.

Search UIDs…

Entity UID	Type	Tenant
`Tenant::"acme"`	Tenant	acme
`Model::"sap.pos_transactions"`	Model	acme
`Model::"sap.inventory_shrinkage"`	Model	acme
`Model::"sap.labor_scheduling"`	Model	acme
`Model::"retail.toast_pos_daily"`	Model	acme
`Model::"retail.ga4_website_daily"`	Model	acme

Providers

Manage LLM API keys and the model profiles that use them.

API Keys Model Profiles

Name	Provider	Used by	Created
`anthropic-default`	Anthropic	3 profiles	Apr 22
`openai-default`	OpenAI	2 profiles	Apr 22
`gemini-default`	Gemini	1 profile	Apr 22
`ollama-onprem`	Ollama	2 profiles	Apr 22

LLM-agnostic. Bring your own key, route per task. No lock-in.

Settings

Manage your dashboard preferences and account.

Appearance

Theme • Light ° Dark

Light and dark themes are available. Your choice is remembered per browser.

Account

NameAdmin

Emailadmin@acme.io

Tenantacme-retail

Ward + SAP, live analysis against your data.

ERP · Primary

SAP Retail

POS transactions · Inventory positions · Purchase orders

Ward

Data Lake

Enrichment Data

POS transactions

Weather & events

Competitor pricing

Loyalty & CRM

Supplier fill rates

SAP (primary)

ERP peers

Enrichment data

→ Real-time data flow

How It Works

Data Ward reads
from SAP.

POS transactions Inventory positions Purchase orders Material master Vendor master Promotion calendar

Ward reads from SAP via RFC/BAPI or OData APIs. No changes to your SAP configuration. Read-only access. Data syncs on your schedule.

01 / Connect

Read SAP

Read-only access to SAP. No changes to your configuration.

02 / Combine

Join the lake

SAP data married to weather, events, and competitor pricing.

03 / Detect

Find the why

Anomalies surfaced continuously, each with a root cause attached.

04 / Deliver

Morning brief

Findings arrive before your team logs in, not in a quarterly review.

Your SAP data holds answers your team doesn’t have time to extract. Ward reads it continuously and explains why.

Your SAP today

Problems hide in SAP until someone has time to look.

×Anomalies found manually, if at all
×Dashboards show what happened, not why
×No one watching between scheduled reviews

With Ward + SAP

Ward reads SAP continuously. Findings arrive with root causes.

✓Anomalies detected and explained automatically
✓Root cause analysis, not just an alert
✓Morning brief before your team logs in

ERP Integrations

More ERP
integrations.

Ward connects to the leading erp platforms.

ERP

Oracle Retail

Ward integrates with Oracle Retail Merchandising (RMFCS), Oracle Retail Demand Forecasting, and Orac...

ERP

Oracle NetSuite

Ward integrates with NetSuite SuiteCommerce, inventory management, and financials. Mid-market retail...

ERP

Epicor

Ward integrates with Epicor for home improvement, furniture, and building supply retailers. Inventor...

Verticals

SAP + Ward
by vertical.

30,000+ SKUs

Grocery & Supermarket

SAP integration for grocery retail

20,000+ SKUs

Pharmacy & Health

SAP integration for pharmacy retail

50,000+ SKUs

Home Improvement

SAP integration for home retail

10,000+ SKUs

Furniture Manufacturing & Retail

SAP integration for furniture retail

Insight types

SAP data powers
every insight card.

SAP data powers every insight card type.

By role

Ward + SAP
for your team.

VP / Director

VP Merchandising

SAP insights for merchandising

VP / Director

VP Supply Chain

SAP insights for supply chain

Director

Director Store Ops

SAP insights for store operations

Director / Head

Head of LP

SAP insights for loss prevention

Director / Head

Head of E-Com

SAP insights for e-commerce

C-Suite / VP

CFO

SAP insights for finance

Director / VP

Head of Procurement

SAP insights for procurement

Director / VP

Head of IT

SAP insights for technology

›

Playbooks

Playbooks that run on SAP.

Ward reads and writes SAP Retail as the system of record for these playbooks, no ETL. Each closes only when the KPI moves.

Merchandising

Promo conflict cancellation

Cannibalization detected mid-promo. Ward models the kill-or-narrow options and ends the offending overlap on merchandising approval.

Grocery · Fashion · ConveniencePromo engine · POS · SAP CARNet promo lift

Assortment rationalization

Long-tail SKUs tying up capital. Ward ranks by GMROI and proposes the cuts and adds, by cluster.

All retailBlue Yonder · SAP · RelexGMROI

Cluster reassortment

A store cluster is mismatched to demand. Ward re-maps the assortment to the cluster's real velocity.

All retailBlue Yonder · SAPSell-through

Supply Chain

Stockout escalation

Forecast says zero-on-hand within 48 hours. Ward raises replenishment against the SOR and notifies the buyer.

Grocery · Convenience · Pharmacy · Home ImprovementManhattan · Blue Yonder · Relex · SAPOn-shelf availability

Supplier OTIF watch

A supplier is slipping on-time-in-full. Ward tracks OTIF against the penalty clause and flags the breach.

All retailSAP · CoupaFill rate

Cross-store transfer

Overstock in one store, stockout in another. Ward proposes the transfer before the markdown.

All retailManhattan · SAPSell-through

Finance

Vendor invoice dispute

Invoice ≠ receipt or contract price. Ward drafts the dispute packet and routes to AP with the evidence chain.

All retailSAP · Coupa · Oracle Financials · NetSuiteCOGS recovery

Margin leakage audit

Margin is bleeding across categories. Ward decomposes the leak and ranks the recoverable dollars.

All retailSAP · Snowflake · BigQueryGross margin

Freight & accessorial audit

Freight and accessorial charges off-contract. Ward reconciles and flags the recoverable spend.

All retailSAP · CoupaCOGS recovery

Procurement

Vendor scorecard update

Vendor performance is shifting. Ward keeps the scorecard current and ties it to the next negotiation.

All retailSAP · CoupaFill rate · COGS

Contract compliance check

Spend is drifting off contract. Ward flags the lines that miss the agreement.

All retailCoupa · SAP MMOff-contract spend

Off-contract spend flag

Maverick spend outside preferred vendors. Ward surfaces it and routes to the category manager.

All retailCoupa · SAPSavings capture

Tail-spend consolidation

Fragmented tail spend across many vendors. Ward groups it for consolidation.

All retailCoupa · SAP MMSavings capture

Rebate realization tracking

Negotiated rebates aren't being realized. Ward tracks accrued vs. earned and flags the shortfall.

All retailSAP · CoupaMargin recovery

IT & Data

Integration health monitor

A feed goes stale or a connector breaks. Ward catches the gap before the numbers go wrong.

All retailSnowflake · BigQuery · SAP connectorsData freshness

Browse all playbooks →

Ward

Insight

Dispatch

Feedback

Evaluate

Learn

The Closed Loop

Insights surface

Ward’s agents detect what changed, why it matters, and what to do about it. Every insight includes a recommended action. Not just a chart to interpret.

Real-time detection Root cause + recommendation

Insights become actions

Any insight card can be turned into a tracked ticket or task. Dispatched to the right person, on the right channel: mobile push, text, or email. Not every insight needs a ticket. When one does, it has an owner.

Tickets created automatically Dispatched to the right person

Your team responds

Insights get voted up or down with reasoning. Tickets get completed or rejected. Every response is a signal. Ward learns what worked, what missed, and why.

Vote up / down Ticket completed Reasoning attached

Outcomes measured

Ward evaluates real results: revenue, margin, fill rate, labor cost. Did the action actually improve the number it targeted? Measured outcomes, not assumptions.

KPI impact tracked Results vs. prediction scored

Agents get sharper

Every vote, every completed ticket, every measured outcome feeds back in. Ward learns from your team’s judgment and real-world results. Each cycle sharpens the next. Then it starts again.

Cycle repeats, sharper each time

$1.8T

Projected global AI market by 2030

Customer acquisition lift for data‑driven orgs

Foundation models shipped since 2022

Guarantees any single model stays on top

Your SAP data holds answers nobody has time to find.

Ward reads it continuously and delivers what it finds. With root causes.

Get a demo →

Get started

Find out what your data has been hiding.

Tell us about your operation. We’ll show you the problems Ward catches, and the ones your current tools miss.

Step 1 of 3

What are your goals?

Reduce stockouts Cut shrinkage Optimize pricing Improve demand forecasting Better promo ROI Understand customer behavior

Step 2 of 3

About your operation

Retail vertical

Number of stores

Step 3 of 3

Your contact info

Full name

Work email

Company

Phone (optional)

Ward +SAP

What’s hiding in yourSAP data.

SAP data, married toeverything else.