An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain

Table 3

Demand forecasting improvements per product group.

Product; Groups	Method I; without Proposed Integration Strategy; MAPE	Method II; with Proposed Integration Strategy; MAPE	Proposed Integration Strategy with Deep; Learning; MAPE	Percentage; Success; Rate	Percentage; Success; Rate	Improvement
Baby Products	0.5157	0.3081	0.2927	40.26%	43.25%	2.99%
Bakery Products	0.3482	0.2059	0.1966	40.85%	43.52%	2.67%
Beverage	0.3714	0.2316	0.2207	37.64%	40.58%	2.94%
Biscuit-Chocolate	0.3358	0.2077	0.1977	38.14%	41.13%	2.99%
Breakfast Products	0.4443	0.2770	0.2661	37.65%	40.11%	2.45%
Canned-Paste-Sauces	0.3836	0.2309	0.2198	39.80%	42.69%	2.89%
Cheese	0.3953	0.2457	0.2345	37.84%	40.68%	2.84%
Cleaning Products	0.4560	0.2791	0.2650	38.79%	41.89%	3.10%
Cosmetics Products	0.5397	0.3266	0.3148	39.49%	41.67%	2.19%
Deli Meats	0.4242	0.2602	0.2488	38.65%	41.36%	2.70%
Edible Oils	0.4060	0.2299	0.2215	43.36%	45.45%	2.09%
Household Goods	0.5713	0.3656	0.3535	36.01%	38.13%	2.12%
Ice Cream-Frozen	0.5012	0.3255	0.3106	35.05%	38.03%	2.98%
Legumes-Pasta-Soup	0.3850	0.2397	0.2269	37.74%	41.07%	3.33%
Nuts-Chips	0.3316	0.2049	0.1966	38.20%	40.71%	2.51%
Poultry Eggs	0.4219	0.2527	0.2403	40.11%	43.04%	2.94%
Ready Meals	0.4613	0.2610	0.2520	43.42%	45.36%	1.94%
Red Meat	0.2514	0.1616	0.1532	35.71%	39.06%	3.35%
Tea-Coffee Products	0.4347	0.2650	0.2535	39.04%	41.68%	2.64%
Textile Products	0.5418	0.3048	0.2907	43.74%	46.34%	2.60%
Tobacco Products	0.3791	0.2378	0.2290	37.29%	39.61%	2.32%
Average	0.4238	0.2582	0.2469	38.99	41.68	2.69