Invisible on-shelf stockout
8.3% on-shelf stockout equals US$39 million lost for every US$1 billion in sales. The customer doesn't complain: they simply buy from the competitor.
Corsten & Gruen / IJRDM 2003Retail
Retail talks omnichannel. The customer experiences channels that don't recognize each other.
Omnichannel customers generate 1.7× more revenue: but most retailers still operate store and digital as separate worlds. The bottleneck is not the channel. It's the disconnect between clienteling, stockouts, same-store sales and the unified journey. Bunker connects this operation with the Bunker Protocol, Salesforce and AI applied to the sell-through cycle.
Retail by the numbers
65%
of inventory records are inaccurate; 28% of inventory value compromised
DeHoratius & Raman / ManSci 200835pp
higher free-to-paid conversion with algorithmic personalization
Anderson et al. / Spotify-ACM 2020The silent risk in retail
Nearly half of trade promotions generate no positive effect on sales. Does your operation know how to tell what works from what merely consumes margin?
When store, e-commerce and service operate on separate platforms, every decision happens without context. The result is promotions with no return, misaligned inventory and customers treated as strangers on every visit.
The real scenario
Four fractures that erode same-store sales and margin with every promotional cycle
Each gap compounds between campaigns. When a shelf stockout triggers no alert and clienteling has no omnichannel context, the ABC curve loses meaning: and same-store sales stagnates.
Unreliable inventory
65% of inventory records are inaccurate, compromising 28% of inventory value. Replenishment and purchasing decisions are made from data that doesn't reflect reality.
DeHoratius & Raman / ManSci 2008Promotions with no return
42% of trade promotions generate no positive effect on sales. The operation invests in campaigns without knowing which ones actually drive results.
Nijs et al. / MarSci 2001Missing personalization
Operations with algorithmic personalization convert up to 35 percentage points more. Without it, every customer receives the same generic offer; and margin is diluted.
Anderson et al. / Spotify-ACM 2020Integrated Retail Architecture
Bunker
We have already mapped stockouts, OSA, clienteling and the ABC curve. We know where context is lost between the shelf and the omnichannel journey.
The store associate doesn't know the customer browsed online yesterday. Each channel runs promotions with its own discount rules. Stockouts rise and no one crosses OSA with same-store sales impact. And the regional manager builds the category analysis in Excel because the POS doesn't talk to the CRM.
We don't sell OMS or CDP. We design the operation that converts traffic into recurring revenue: with governed clienteling and a trackable omnichannel journey.
- +300 CRM projects: including retail chains with omnichannel operations
- +120K users impacted, from store associates to e-commerce and customer service
- Commercial governance deployed across 8 countries with retail operations
- Direct experience in food retail, fashion, electronics and specialty retail
Bunker Protocol applied to Retail
Four phases. One architecture. Auditable results.
Evidence
Auditable results in a context similar to yours
+10–15%
in revenue lift with algorithmic personalization and clienteling based on cross-channel behavioral data
McKinsey: "Personalizing the customer experience" 20231.7×
more revenue per customer in integrated omnichannel operations versus single-channel: captured with a unified journey view
Harvard Business Review: "Omnichannel retail study" 2022299%
in ROI with Salesforce Marketing Cloud in retail: driven by journey automation, segmentation and offer personalization
Forrester: "Total Economic Impact of SFMC" 2023Fragmented omnichannel journey, promotions without traceability and commercial decisions without unified context.
Bunker designed the complete CRM architecture on Salesforce, integrated store, e-commerce and service, and installed pipeline governance with auditable predictability.
Request access to additional information about this and other cases compatible with your context.
Request a compatible caseTransformation
From fragmented shelf to connected omnichannel architecture
Without Bunker
Disconnected channels
- Store, e-commerce and service with separate data and conflicting versions
- Promotions without impact traceability by channel or region
- Inventory misaligned between systems and on-shelf reality
- Pipeline invisible to executive management
- Customer treated as a stranger at every new interaction
With Bunker
Integrated omnichannel architecture
- Unified view of customer and journey across store, digital and service
- Campaigns with return traceability by channel and category
- Inventory governance with reliable data and real-time decisions
- Auditable pipeline with consolidated executive predictability
- AI applied to daily operations with personalization, alerts and action recommendations
Every month of disconnected channels costs same-store sales, clienteling and margin that won't come back.
The first step is an omnichannel operations diagnostic. No commitment, no generic deck. Evaluate whether your same-store sales justifies a different architecture.
Frequently asked questions
Answers for Retail
01 How does the protocol address omnichannel when store and digital have separate P&L? Expand
The protocol doesn't solve org charts: it solves information. Even with separate P&L, the platform creates the unified customer view that enables cross-channel decisions. When the store associate sees the digital history, the average ticket rises: regardless of who captures the revenue.
02 Do you integrate with ERP, e-commerce and POS? Expand
We integrate Salesforce with ERP, e-commerce, POS and loyalty programs. The goal is a single customer base that feeds clienteling, campaigns and service. Each channel contributes data; each channel consumes context.
03 Is it possible to measure impact on same-store sales and not just leads? Expand
That's the premise. The protocol installs business outcome metrics: same-store sales, average ticket, lifetime value - not system metrics. The diagnostic starts from these indicators to prioritize what generates real financial impact.