Specialised optimisation for grocery & supermarkets

Grocery & SupermarketsSolutions

Inventory optimization built for the complexity of modern grocery retail

AI Platform

One AI platform connects forecasting, replenishment, pricing, and promos—signals flow automatically between modules so orders, prices, and campaigns stay in sync.

97%
On-Shelf Availability
-40%
Fresh Waste Reduction
94%
Forecast Accuracy
150
Stores Automated
Market landscape

Operating Reality

Supermarkets juggle thousands of SKUs across fresh, ambient, and frozen categories — with razor-thin margins, short shelf lives, and demand that shifts with weather, promotions, and regional preferences.

Traditional planning falls short.

15-25K
SKUs per store
1-3%
Average margins
8-12%
Fresh spoilage rate
Key challenges
1

Manual planning can't keep up with the pace of fresh

Perishables need daily store-level adjustments, weather impacts are reactive rather than predictive, and order processing takes hours across hundreds of thousands of SKU-store combinations.

2

We're losing sales but can't pinpoint where

Stockouts go unrecorded when demand shifts to substitutes. Buying teams and store teams work from different assumptions, and manager overrides lack full supply chain context.

3

Our tools weren't built for shelf-life complexity

Cross-dock and warehouse models don't account for remaining days of freshness. Short lead times on perishables leave zero room for forecast error.

How MySales helps

How MySales Optimizes Grocery Operations

Our AI builds demand forecasts at the most granular level — every product, every store, every day — incorporating: At Chudo Market (30 stores), forecast accuracy exceeded 80% overall and reached 95%+ for high-volume SKUs.

Beyond demand forecasting, our replenishment engine honors the constraints that matter in grocery: At Eko Market (105+ stores), order processing time was reduced by 2-3x after implementation on fresh products.

Plan promotional campaigns with accurate forward visibility:

1
Weather predictors for temperature-sensitive categories (ice cream, water, soup, BBQ items). At Eko Market, the system captured demand spikes of up to 10x for certain products during heat waves — something no human planner can calculate in time.
2
Price and promotional elasticity learned from historical transaction data, measuring the real impact of price changes on volume
3
Event and calendar effects including school holidays, sporting events, cultural celebrations, and pay cycles
4
Promotional uplift modeling that accounts for basket cannibalization and halo effects across related categories
How MySales helps

Implementation Approach

1

Phase 1: Foundation (Weeks 1-4)

Data connection from ERP, WMS, and POS systems — typically completed within 1-2 weeks
Baseline establishment for current forecasting and inventory performance
Pilot category selection — we recommend starting with fresh, where the impact is largest and most visible
Team onboarding on the MySales forecasting and replenishment interface
2

Phase 2: Expansion (Weeks 5-12)

Category rollout from fresh to ambient and frozen departments
Store expansion from pilot locations to the full chain
Promotional planning activation for upcoming campaign periods
Safety stock recalibration as the system builds confidence from live performance
3

Phase 3: Optimization (Months 4-6)

Performance tuning based on observed seasonal patterns and promotional results
Automation deepening — reducing manual intervention as trust in system recommendations grows
ROI measurement and continuous improvement processes
Impact delivered

Results from Real Grocery Deployments

Chudo Market logo

Chudo Market — 30-Store Grocery Chain

On-shelf availability: Improved from 85% to 97% across all locations
Sales growth: 15-20% increase in turnover driven by improved availability
Forecast accuracy: 80%+ overall, 95%+ for high-volume SKUs
Planning efficiency: 70% reduction in manual ordering time
We are aiming for maximum automation in the supply chain process: from orders and processing to delivery to stores. This allows us to reduce costs and offer the most competitive prices to customers.
Oleksandr Udovenko, Co-founder, Chudo Market
Eko Market logo

Eko Market — 105+ Store Grocery Chain (Fresh Categories)

Order processing time: Reduced by 2-3x across the fresh product group
Forecast quality: Significantly higher accuracy than any previously used forecasting system
Lost sales reduction: Measurable decrease in stockouts on perishable products
Employee productivity: Staff freed from routine ordering to focus on in-store execution
Those who are directly involved in the ordering process consider MySales to be effective and saving their time. It really allows them to dedicate more resources towards more creative tasks requiring human touch.
Alexey Kruglikov, Head of Inventory Management, Eko Market
Data & integrations

Data & System Connectivity

ERP integration (SAP, Oracle, Microsoft Dynamics, 1C, and others)
WMS connectivity for real-time inventory visibility and warehouse operations
POS data streams for daily demand sensing and sales pattern analysis
Weather APIs for temperature and precipitation forecasting
Event calendars for holiday and promotional planning
Economic indicators for macro trend awareness
GDPR compliance for customer data protection
Role-based access to protect sensitive commercial information
Audit trails for regulatory compliance and internal controls
How MySales helps

Recommended Module Implementation

Forecasting — SKU x store x day demand prediction with weather, price, and event integration.

This is the analytical foundation that everything else builds on.

Replenishment — Automated ordering with pick-to-zero distribution for fresh, safety stock optimization, and supplier constraint handling.

Deployed together with Forecasting for immediate operational impact.

Promo — Promotional uplift modeling with cannibalization analysis and post-promotion demand planning.

Added once core forecasting and replenishment are stable. Ready to transform your grocery operations?

Schedule a demo to see MySales in action with grocery-specific use cases and ROI calculations tailored to your chain size and category mix.

1

Implementation Sequence

2

Typical Timeline

Months 1-2: Forecasting + Replenishment for pilot categories (fresh recommended)
Months 3-4: Full category and store rollout
Months 5-6: Promo module activation and advanced optimization