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Digital Walls Consulting

Who We Serve

Retail &

Consumer

Omnichannel pressure, seasonal demand spikes, supplier complexity, and customers who expect to know exactly where their order is. We help retail and consumer firms build the enterprise backbone that makes all of that manageable.

50%

Reduction in sales qualification time — retail lead scoring

AI

Demand forecasting on historical S/4HANA sales data

Auto

Marketing-to-sales handoff — zero manual intervention

360°

Unified customer profile across channels and product lines

"Retail ERP is not just inventory and finance — it is the connective tissue between your supplier, your store, and your customer. When it works, nobody notices. When it breaks, everyone does."

WHo We Serve

Retail &

Consumer

Omnichannel pressure, seasonal demand spikes, supplier complexity, and customers who expect to know exactly where their order is. We help retail and consumer firms build the enterprise backbone that makes all of that manageable.

"Retail ERP is not just inventory and finance — it is the connective tissue between your supplier, your store, and your customer. When it works, nobody notices. When it breaks, everyone does."

50%

Reduction in sales qualification time — retail lead scoring

AI

Demand forecasting on historical S/4HANA sales data

Auto

Marketing-to-sales handoff — zero manual intervention

360°

Unified customer profile across channels and product lines

The Challenge

Where retail enterprise systems create the most pain

Retail is unforgiving. Stockouts, late supplier payments, disconnected customer data, and manual markdown decisions — each of these costs money in real time, every day.

Inventory and demand management

Overstocked in the wrong sizes, out of stock in the right ones. Demand forecasting that runs on last year's data and does not account for seasonality, promotions, or new store openings.

Omnichannel complexity

Online, store, app, and marketplace — each with different pricing, fulfilment rules, and return policies. A single customer buying across channels who sees inconsistent service at every touchpoint.

Supplier management and procurement

Hundreds of suppliers, thousands of SKUs, and payment terms that vary by vendor. Invoice disputes that take weeks to resolve. Supplier scorecards that nobody maintains because there is no system to maintain them in.

Customer data and marketing effectiveness

Customer data spread across loyalty systems, POS, e-commerce, and CRM — each with a different customer ID. Marketing campaigns that cannot personalise because they cannot see the whole customer.

Margin visibility and promotional planning

Gross margin by category, by store, and by channel — calculated after the fact, not before. Promotional decisions made on gut feel because the analytics to support them do not exist or arrive too late.

Workforce management for large retail teams

Large store networks, seasonal staffing, high attrition, and shift-based scheduling — all requiring HCM systems that handle retail-specific complexity without breaking every time the season changes.

What We Do

Enterprise systems that keep up with retail speed

ERP Transformation

S/4HANA for retail - finance, procurement, and inventory

Finance, Procurement, and Inventory Management on S/4HANA — with the retail-specific configuration that handles seasonal demand, multi-channel fulfilment, and supplier complexity.

  • Inventory management and availability-to-promise across channels
  • Supplier invoice automation — three-way match with exception handling
  • AI-driven demand forecasting on historical SD data
  • Gross margin reporting by category, channel, and store
  • Revenue recognition for gift cards, loyalty points, and returns
S/4HANA
MM
SD
FI/CO
Ariba

CRM & Marketing

Unified customer engagement and marketing automation

Dynamics 365 and Customer Insights bringing your customer data together — unified profiles, personalised journeys, lead scoring, and marketing automation that removes the manual handoff between marketing and sales.

  • Unified customer profile across loyalty, POS, and e-commerce
  • Customer journey automation with personalisation at scale
  • Lead scoring — 50% reduction in sales qualification time
  • Marketing-to-sales handoff automated — zero manual intervention
D365 Marketing
Customer Insights
Copilot

Data Intelligence

Retail analytics — from category performance to customer behaviour

Power BI dashboards built on your SAP and CRM data — inventory turns, category margin, promotional effectiveness, and customer lifetime value in a single view for your merchandising and commercial teams.

  • Category performance and margin by store and channel
  • Inventory ageing and markdown decision support
  • Promotional uplift analysis and planning
  • Customer cohort analysis and lifetime value modelling
Power BI
Azure Synapse
SAC

HRMS

SuccessFactors for large, seasonal retail
workforces

HCM for retail-specific workforce complexity — store-based org structures, seasonal hiring at scale, shift-based attendance, and high attrition management across hundreds of locations.

  • Retail-specific job architecture and grade structure
  • High-volume seasonal recruitment automation
  • Shift-based time and attendance management
  • Attrition prediction and store-level workforce planning
SuccessFactors
Employee Central
Recruiting
Time

Case Studies

Delivered. Not just proposed.

Retail and consumer outcomes across fashion, multi-format retail, and FMCG distribution.

CRM & Marketing

End-to-end lead management and customer journey automation

Leading Retail & Consumer Group, India

  • Customer journey automation replacing manual campaign management
  • Lead scoring model reduced sales qualification time by 50%
  • Marketing-to-sales handoff automated — zero manual intervention
  • Customer Insights unified profiles from 4 data sources
D365 Marketing
Customer Insights
Power Automate

AI Automation

AI-driven AP automation — from three-way match to zero-touch

Large Retail Group, India

  • AI invoice matching reduced three-way reconciliation time by 60%
  • SAP BTP workflow engine automated vendor payment approvals end-to-end
  • Exception-only model — AP team shifted from processing to governance
  • Integrated with Ariba for PO-to-pay straight-through processing
SAP BTP
Azure AI
Ariba

Data Intelligence

Demand forecasting and inventory optimisation for a fashion retailer

Fashion Retail Chain, India

  • Azure ML demand model built on 3 years of S/4HANA SD history
  • Inventory carrying cost reduced through AI-driven reorder optimisation
  • Seasonal demand spikes predicted 8 weeks ahead — buying decisions improved
  • Category margin reporting live in Power BI — daily refresh
Azure ML
Power BI
S/4HANA

Testimonials

Client Testimonials

Before DWC, marketing and sales were operating in completely different systems with no visibility into each other. Now a lead that marketing nurtures flows to sales automatically with a full engagement history. That is a fundamental change in how our commercial team operates.

CMO

Retail Group · Marketing Automation

Our AP team was processing 2,000 invoices a month manually. After the automation DWC built on BTP, 85% of those invoices now process without a human touching them. The team went from chasing invoices to managing exceptions — a completely different job that they are much better at.

CFO

Retail Group · AP Automation

The demand forecasting model genuinely changed our buying decisions. We used to overbuy on everything because nobody trusted the numbers. Now we buy with confidence 8 weeks ahead — and our inventory carrying costs have come down significantly as a result.

Head of Buying

Fashion Retail · Demand Forecasting

Speak to a retail specialist today.

30 minutes, no slides. A direct conversation with someone who
understands retail operations — and the systems that need to support
them at scale.

Book a session
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